Lorenz T. Biegler-Chemical Engineering - Carnegie Mellon University

Lorenz T. Biegler

Bayer University Professor and Head, Chemical Engineering

Office: Doherty Hall 4210B
Phone: 412- 268-2232
Fax: 412- 268-7139

Bio

Lorenz T. (Larry) Biegler is currently the Bayer University Professor and Head of Chemical Engineering at Carnegie Mellon University, which he joined after receiving his PhD from the University of Wisconsin in 1981. His research interests lie in computer aided process engineering (CAPE) and include flowsheet optimization, optimization of systems of differential and algebraic equations, reactor network synthesis andalgorithms for constrained, nonlinear process control.  Prof. Biegler has been an institute fellow at the National Energy Technology Lab, a visiting scholar at Northwestern University and Lehigh University, a scientist-in-residence at Argonne and Sandia National Labs, a Distinguished Faculty Visitor at the University of Alberta, a Chang Jiang scholar at Zhejiang University, a Gambrinus Fellow at the University of Dortmund, a Fulbright Fellow at the University of Heidelberg, a Distinguished Jubilee Lecturer at IIT-Bombay and the Hougen Visiting Professor at the University of Wisconsin.  He is an author on over 300 archival publications and two books, and has given numerous invited presentations at national and international conferences.

Education

Ph.D. 1981, University of Wisconsin, Madison

M.S. 1979, University of Wisconsin, Madison
B.S. 1977, Illinois Institute of Technology

Research

Professor Biegler's research projects are in the areas of design research and systems analysis. His research centers around the development and application of concepts in optimization theory, operations research, and numerical methods for process design, analysis, and control. Topics in this area include:

Advanced algorithms for flowsheet simulation, optimization, and sensitivity analysis.

These include the development of methods for nonlinear programming and related applications for process optimization in design, control and operations.

Development of large-scale nonlinear programming methods for optimization of systems of differential and algebraic equations.

Projects include analysis of stability and accuracy for approximate ODE solutions, algorithms for optimal control problems, process control, and methods for large-scale nonlinear programming.

Optimization methods for data-handling problems.

These include parameter estimation and data reconciliation problems for steady and dynamic problems.

Synthesis of reactor-based flowsheets through quantitative targets.

This approach combines optimization formulations with attainable region and pinch concepts.

Research Websites

Center for Advanced Process Decision-making
Energy Science and Engineering
Process Systems Engineering
Research Group Site

Highlights

  • Basic optimization algorithm development for large-scale, structured models and treatment of discrete decisions through mixed integer programming and complementarity formulations remains a major and has been demonstrated on difficult nonlinear systems with over a million variables. The work was supported by initial collaboration with IBM on the development of MINLP tools, further software development with visitors from Zhejiang University and extension to deal with a number of engineering applications.
  • Optimization of dynamic systems with applications in parameter estimation, batch processing and polymer systems has been realized for the manufacture of polyethylene (major commodity product), model development for polystyrene copolymers (specialty product) and batch reactor systems. These efforts are supported by strong industrial collaborations (ExxonMobil, NOVA Chemicals, Dow Chemicals).
  • Fast on-line optimization strategies for Nonlinear Model Predictive Control (NMPC) has advanced this year through major theoretical developments in NMPC stability and robustness. This extremely efficient on-line optimization approach is based on NLP sensitivity and leverages our large-scale optimization algorithms and software. Moreover, it offers all of the benefits of on-line optimization by solving these problems in background and not on-line. The reduction of on-line computational costs is 2-3 orders of magnitude and this has been demonstrated on large-scale polymer processes and distillation systems. In addition, these approaches have been developed and extended to state estimation and systems identification problems using a fast form of Moving Horizon Estimation.
  • Hierarchy of optimization models for energy systems has received strong development in collaboration with the National Energy Technology Laboratory (IAES/NETL) this year. Larry has explored optimization strategies for major components of the FutureGen Power Plant flowsheet, including combustor/gasifier computational fluid dynamic models, cyclic steady state models that require semi-closed DAE solvers and open equation-based models for air separation units and PEM fuel cells. The resulting optimization models are demonstrated to be much faster and more effective than state-of-the-art software. As shown in a recent paper, current applications of these optimization results are leading to economically and environmentally superior design and operation of fossil-fuel power plants.
  • Advanced optimal separation systems for capture of greenhouse gases, including CO2 and CH4, can be performed cleanly and efficiently using pressure-swing adsorption (PSA) operations. On the other hand, these inherently stiff, highly nonlinear PDAE systems are difficult to model, expensive to calculate and remain without efficient, systematic optimization strategies. In collaboration with NETL and TU Dresden Larry has developed efficient approaches for particularly large-scale PSA systems. These are based on fundamental advances in large-scale optimization algorithms, automatic differentiation for DAE systems and reduced order modeling for PDAE systems. This optimization approach provides significant economic and environmental benefits for CO2 capture and will lead to significant advances in the recovery of greenhouse gases from chemical plants, refineries and power plants.

Awards and Honors

  • William H. Walker Award, 2015
  • Member,  National  Academy  of Engineering,  2013
  • Honorary  Doctorate of Engineering  Sciences (Dr.-Ing.  E.h.),  Technische  Universit¨at Berlin, January, 2013
  • Outstanding Research  Award,  Carnegie  Institute of Technology,  March,  2012
  • Nordic Process  Control  Award,  Copenhagen, January, 2012
  • 18th R.W.H.  Sargent Lecturer,  Imperial  College, London,  December,  2011
  • Chang  Jiang  (Yangtze) Professorship, Zhejiang  University, Hangzhou,  China,  May, 2010
  • Olaf A. Hougen Visiting Professorship, University  of Wisconsin,  Fall, 2009
  • Discrete Optimization Top Cited Article 2005-2010
  • Warren K. Lewis Award for Chemical Engineering Education, AIChE, November, 2009
  • INFORMS Computing Society Prize, October, 2009
  • Distinguished Golden Jubilee Lecturer, IIT Bombay, December, 2007
  • Best Paper Award, IEEE Advanced Process Control Applications for Industry Workshop, 2007
  • CACHE Computing in Chemical Engineering Award, American Society for Engineering Education, 2007
  • Fulbright Senior Research Fellow, Universität Heidelberg, Germany, Fall, 2006
  • Distinguished Alumnus Award, Chemical Engineering Department, Illinois Institute of Technology, 2005
  • Steven Fenves Award in Systems Engineering, Institute for Complex Engineered Systems, Carnegie Institute of Technology, 2005
  • McAfee Award, American Institute of Chemical Engineers, Pittsburgh Section, 2001
  • Computing in Chemical Engineering Award, Computing and Systems Technology Division, American Institute of Chemical Engineers, 2000
  • Best Paper of 1995 Award, Computers and Chemical Engineering
  • Curtis McGraw Research Award, American Society for Engineering Education, 1996
  • Merck, Sharp and Dohme Lecturer, University of Puerto Rico, 1995
  • Gambrinus Fellowship, University of Dortmund, 1995
  • Air Products Extraordinary Quality Award, 1991
  • Distinguished Visitor, Faculty of Engineering, University of Alberta, September 1990
  • Best Paper of 1988 Award, Computers and Chemical Engineering
  • Presidential Young Investigator Award, National Science Foundation, 1985-1990
  • International Paper Fellowship, University of Wisconsin, 1978 - 1981
  • IIT Alumni Award for Outstanding Achievement, 1978

Publications

Recent Publications
Selected Publications
Full Publications

Recent Publications

L. T. Biegler, Y-D Lang and W-J  Lin, “Multi-scale  Optimization for Process Systems Engineering,” Computers  and Chemical  Engineering,  60, 10, 17– 30 (2014)

E. Esche, H. Arellano-Garcia, L. T. Biegler, G. Wozny, “Two-dimensional modeling of a packed-bed  membrane  reactor  for the  oxidative  coupling  of methane,” Chemical  Engineering  Transactions, Vol.   29, pp. 1537-1542 (2012)

K. Wang, Z. Shao, L. T. Biegler, Y. Lang, J. Qian, “Barrier  NLP methods  with structured regularization for optimization of degenerate and  indefinite  problems”  Computers and Chemical  Engineering,  57, pp.  24-29 (2013)

Y. Nie, L. T. Biegler, C. M. Villa and J. Wassick, ”Reactor Modeling and Recipe Optimization of Polyether Polyol Processes:  Polypropylene Glycol,” AIChE  J., 59, 7, 2515–2529 (2013)

X.  Yang,  L.  T.  Biegler,  “Advanced-multi-step nonlinear   model  predictive   control,” Journal  of Process Control,  23, 7, pp.  1001 – 1011 (2013)

Y. Nie, P. Witt, A. Agarwal, and L. T. Biegler, “Optimal Active Catalyst and Inert Distribution in Catalytic Fixed Bed Reactors:  ortho-Xylene  Oxidation,” I & EC Research,  in press (2013)

R.  Amrit,   J.  B.  Rawlings,  L. T.  Biegler,  “Optimizing process  economics  online  using  model  predictive control,”  Computers and Chemical  Engineering,  58, pp.  334-343 (2013)

E. Harinath, L.T.  Biegler, G. A. Dumont, “Predictive optimal  control  for thermo-mechanical pulping  processes with multi-stage low consistency  refining,” Journal  of Process  Control,  23, pp.  1001 – 1011 (2013)

Alexander  W. Dowling, Lorenz  T.  Biegler,  “Optimization-based Process  Synthesis  for Sustainable Power Generation,” Chemical Engineering  Transactions, 35, 1–12 (2013)

C. Zhang, Z. Zhan, Z. Shao, Y. H. Zhao, X. Chen, X.P. Gu, Z. Yao, Z, L. F. Feng L. T. Biegler, “Equation- Oriented Optimization on an Industrial High-Density  Polyethylene Slurry  Process  with  Target Molecular Weight Distribution,” I& EC Research,  52, 22, pp.  7240-7251 (2013)

Selected Publications

Biegler, L. T.,  I. E. Grossmann and  A. W. Westerberg,  Systematic Methods  of Chemical  Process  Design, Prentice-Hall, Upper Saddle River, NJ (1997)

Wächter, A., and L. T. Biegler, “On the Implementation of an Interior  Point Filter  Line Search Algorithm for Large-Scale Nonlinear  Programming,” Mathematical Programming, 106, 1, pp.  25-57 (2006)

Kameswaran, S. and L. T. Biegler, “Convergence  Rates  for Direct  Transcription of Optimal  Control  Prob- lems Using Collocation  at Radau  Points,” Computational Optimization and Applications, 41, 1, pp.  81-126 (2008)

V. M. Zavala and L. T. Biegler “The advanced-step NMPC controller: optimality, stability, and robustness,” Automatica 45 86-93 (2009).

Baumrucker, B. T. and L.T. Biegler, “MPEC Strategies for Optimization of Hybrid Dynamic Systems,” Journal of Process Control, 19, 1248-1256 (2009)

Biegler,  L.  T.  Nonlinear   Programming:   Concepts,   Algorithms   and  Applications to  Chemical  Processes, SIAM, Philadelphia (2010)

Full Publications

  1. Biegler, L.T. and R.R. Hughes, “Approximation Programming of Chemical Processes with Q/LAP,” Chemical Engineering Progress, p. 76, April (1981).
  2. Biegler, L.T. and R.R. Hughes, “Infeasible Path Optimization for Sequential Modular Simulators,” AIChE J. 28, 6, p. 994 (1982).
  3. Biegler, L.T. and R.R. Hughes, “Optimization of Propylene Chlorination Processes: A Case Study Comparison of Four Algorithms,”
    Computers & Chem. Engineering 7, 5, p. 645 (1983).
  4. Shivaram, S. and L.T. Biegler, “Improved Infeasible Path Methods for Sequential Modular Optimization,” Proceedings of 3rd International Congress on ”Computers and Chemical Engineering,” paper C-157, EFCE Series, 27 (1983).
  5. Biegler, L.T., “Solution of Dynamic Optimization Problems by Successive Quadratic Programming and Orthogonal Collocation,” Computers & Chem. Engineering 8, 3/4, p. 243 (1984).
  6. Cuthrell, J.E. and L.T. Biegler, “Augmented Lagrangian Line Searches for Successive Quadratic Programming,” DRC Report 06-77-84 (1984).
  7. Biegler, L.T., “Simultaneous Modular Simulation and Optimization,” in Foundations of Computer Aided Process Design-IIa, pp. 369-409, Westerberg and Chien (eds.), CACHE Committee (1984).
  8. Biegler, L.T., “SPAD - A Simulator for Process Analysis, Design and Optimization,” Proceedings of Summer Computer Simulation Conference, v. 1, p. 681 (1984).
  9. Cuthrell, J.E. and L.T. Biegler, “Simultaneous Solution and Optimization of Process Flowsheets with Differential Equation Models,” Proceedings of Process Systems Engineering, I Chem. E. Symposium Series, 92 (1985). (Also in Chemical Engineering Research and Design. 64, 341 (1986).
  10. Biegler, L.T. and R.R. Hughes, “Feasible Path Optimization for Sequential Modular Simulators,” Computers & Chemical Engineering 9, 4, p. 379 (1985).
  11. Biegler, L.T., “Improved Infeasible Path Optimization for Sequential Modular Simulators, Part I: The Interface,” Computers & Chemical Engineering 9, 3, p. 245 (1985).
  12. Biegler, L.T. and J.E. Cuthrell, “Improved Infeasible Path Optimization for Sequential Modular Simulators, Part II: The Optimization Algorithm,” Computers & Chemical Engineering 9, 3, p. 257 (1985).
  13. Biegler, L.T., I.E. Grossmann and A.W. Westerberg, “A Note on Approximation Techniques Used for Process Optimization,” Computers & Chemical Engineering 9, 2, p. 201 (1985).
  14. Biegler, L.T. and I.E. Grossmann, “Strategies for the Optimization of Chemical Processes,” Chemical Engineering Reviews 3, 1, p. 1 (1985).
  15. Biegler, L.T., I.E. Grossmann and G.V. Reklaitis, “Application of OR Methods in Chemical Engineering,” Handbook of Operations Research in Engineering Design (R. Levary, ed.), Elsevier (1987).
  16. Banares-Alcantara, R., R. Edahl, L.T. Biegler, S. Talukdar, I.E. Grossmann, and R. Joobani, “An Expert Systems Approach to On-Line Optimization,” EDRC Report, Carnegie Mellon University, Pittsburgh, PA (1986).
  17. Biegler, L.T., J.J. Damiano and G.E. Blau, “Nonlinear Parameter Estimation: A Case Study Comparison,” AIChE J. 32(1), 29 (1986).
  18. Achenie, L.K. and L.T. Biegler, “Algorithmic Synthesis of Chemical Reactor Networks Using Mathematical Programming,” I&EC Fundamentals, 25, 621 (1986).
  19. Biegler, L.T. and R.R. Hughes, “Design of Ethanol Dehydrogenation Plant,” CACHE Case Study, No. 3, Morari and Grossmann (eds.), CACHE Corp. (1986).
  20. Ganesh, N. and L.T. Biegler, “A Reduced Hessian Strategy for Sensitivity Analysis of Optimal Flowsheets,” AIChE J. 33(2), 282 (1987).
  21. Cuthrell, J.E. and L.T. Biegler, “On the Optimization of Differential-Algebraic Process Systems,” AIChE J. 33(8), 257 (1987).
  22. Lang, Y-D and L.T. Biegler, “A Unified Algorithm for Flowsheet Optimization,” Computers and Chemical Engineering, 11, 2, p. 143 (1987).
  23. Biegler, L.T., “Process Flowsheeting Optimization Strategies: Recent Results and Future Directions,” Applied Numerical Mathematics 3, pp. 393-408 (1987).
  24. Lang, Y-D, L.T. Biegler and I.E. Grossmann, “Simultaneous Optimization and Heat Integration with Process Simulators,” Computers and Chemical Engineering 12, 4, p. 311 (1988).
  25. Lally, B., L.T. Biegler and H. Henein, “Sequencing a Continuous Casting Operation to Minimize Costs,” Trans. ISS (also in Iron & Steelmaker, October 1987, pp. 63-70) (1987).
  26. Biegler, L.T., “Optimization Capability with FLOWTRAN,” Chapter 13 in FLOWTRAN Simulation - An Introduction, by Seader, Seider and Pauls, 3rd edition, CACHE Corp. (1987).
  27. Biegler, L.T., “On the Simultaneous Solution and Optimization of Large Scale Engineering Systems,” Proceedings of CEF ’87, p. 15, also in Computers and Chemical Engineering 12, 5, p. 357 (1988).
  28. Ganesh, N. and L.T. Biegler, “A Robust Technique for Process Flowsheet Optimization Using Simplified Model Approximations,” Computers and Chemical Engineering 11, 6 p. 55 (1987).
  29. Grossmann, I.E., A.W. Westerberg and L.T. Biegler, “Retrofit Design of Processes,” Proceedings of FOCAPO-87, p. 403, Reklaitis and Spriggs (eds.), Elsevier (1987).
  30. Biegler, L.T., “Advances in Computer-Aided Design,” Analytica Chimica Acta 210, 1, p. 97 (1988).
  31. Cuthrell, J.E. and L.T. Biegler, “Simultaneous Optimization and Solution Methods for Batch Reactor Control Profiles,” Computers and Chemical Engineering 13, 1/2, p. 49 (1989).
  32. Li, W-C and L.T. Biegler, “Process Control Strategies for Constrained Nonlinear Systems,” I&EC Research 27, p. 1421 (1988).
  33. Achenie, L. and L.T. Biegler, “Developing Targets for the Performance Index of a Chemical Reactor Network,” I&EC Research 27, p. 1811 (1988).
  34. Vasantharajan, S. and L.T. Biegler, “Large-Scale Decomposition for Successive Quadratic Programming” Computers and Chemical Engineering 12, 11, p. 1087 (1988).
  35. Vasantharajan, S. and L.T. Biegler, “Simultaneous Solution of Reactor Models within Flowsheet Optimization,” Chemical Engineering Research & Design 66, p. 396 (1988).
  36. Henein, H. and L.T. Biegler, “Optimization of Reactor Volumes for Topochemical Reactions” Transactions IMM, Section C, 97, p. C215 (1988).
  37. Harsh, M.G., P. Saderne and L.T. Biegler, “A Mixed Integer Flowsheet Optimization Strategy for Process Retrofits: The Debottlenecking Problem,” Computers and Chemical Engineering, 13, 8, p. 947 (1989).
  38. Achenie, L. and L.T. Biegler, “Algorithmic Reactor Network Synthesis with Recycle Reactor Models,” Computers and Chemical Engineering, 14, 1, p. 23 (1990).
  39. Li, W-C, L.T. Biegler, C.G. Economou and M. Morari, “A Newton Type Control Strategy for Nonlinear Process Systems,” Computers and Chemical Engineering, 14, 4/5, p. 451 (1990).
  40. Li, W-C and L.T. Biegler, “A Multistep Controller for Constrained Nonlinear Processes,” Proc. 1989 American Control Conference, p. 1527 (1989).
  41. Lally, B., L.T. Biegler and H. Henein, “Mathematical Modelling of Heat Transfer in Continuous Casting,” Metallurgical Transactions, 21B, p. 761 (1990).
  42. Lally, B., L.T. Biegler and H. Henein, “Optimization Methods for Continuous Casting, I: Problem Formulation and Solution,” Metallurgical Transactions, 22B, p. 641 (1991).
  43. Lally, B., L.T. Biegler and H. Henein, “Optimization Methods for Continuous Casting, II: Applications to Industrial Casters,” Metallurgical Transactions, 22B, p. 649 (1991).
  44. Biegler, L.T., “On the Solution of the FCP Under Uncertainty: A Math Programming Approach,” Shell Process Control Workshop II, p. 149, Butterworths, Stoneham, MA (1989).
  45. Logsdon, J.S. and L.T. Biegler, “On the Accurate Solution of Differential-Algebraic Optimization Problems,” I&EC Research, 28, p. 1628 (1989).
  46. Li, W-C and L.T. Biegler, “Multistep, Newton-Type Control Strategies for Constrained, Nonlinear Processes,” Chemical Engineering Research & Design 67, p. 562 (1989).
  47. Li, W-C and L.T. Biegler, “Newton-Type Controllers for Constrained Nonlinear Processes with Uncertainty,” I&EC Research, 29, p. 1647 (1990).
  48. Vasantharajan, S., J. Viswanathan, and L.T. Biegler, “Reduced SQP Implementation for Large Scale Optimization Problems,” Computers and Chemical Engineering 14, 8, p. 907 (1990).
  49. Biegler, L.T., “Strategies for Simultaneous Solution and Optimization of Differential-Algebraic Systems,” Foundations of Computer Aided Process Design-3, p. 155, Elsevier (1990).
  50. Biegler, L.T., “Chemical Process Simulation,” Chemical Engineering Progress, 85, 10, p. 50 (1989).
  51. Logsdon, J.S., U.M. Diwekar and L.T. Biegler, “On the Simultaneous Optimal Design and Operation of Batch Distillation Columns,” Trans. I. Chem. E., Part A, 68, p. 434 (1990).
  52. Vasantharajan, S. and L.T. Biegler, “Simultaneous Strategies for Parameter Optimization and Accurate Solution of Differential-Algebraic Systems,” Computers and Chemical Engineering, 14, 8, p. 1083 (1990).
  53. Biegler, L.T., I.E. Grossmann and A.W. Westerberg, “Optimization in Mathematics in Chemical Engineering,” Chapter 10 in Ullmann’s Encyclopedia of Industrial Chemistry, Volume 1 (1990).
  54. Henein, H., and L.T. Biegler, “Applications of Optimization Modelling Techniques to Materials Processing,” in Intelligent Processing of Materials, H.G. Wadley and W.E. Eckhart (eds.), p. 163 (1990)
  55. Bullard, L.G. and L.T. Biegler, “Iterative Linear Programming Strategies for Constrained Simulation,” Computers and Chemical Engineering, 15, 4, p. 239 (1991).
  56. Logsdon, J.S. and L.T. Biegler, “Decomposition Strategies for Large Scale Dynamic Optimization Problems,” Chemical Engineering Science, 47, 4, p. 851 (1992)
  57. Tjoa, I-B and L.T. Biegler, “Simultaneous Solution and Optimization Strategies for Parameter Estimation of Differential-Algebraic Equation Systems,” I&EC Research, 30, p. 376 (1991).
  58. Schmid, C. and L.T. Biegler, “Application of Multistep Newton-type Controllers to Fluid Catalytic Cracking,” Proceedings ACC Meeting, p. 581, San Diego, CA (1990).
  59. Biegler, L.T., “Optimization Strategies for Complex Process Models,” Advances in Chemical Engineering, 18, p. 197 (1992)
  60. Biegler, L.T., “Optimization Tools for Process Modeling,” Materials Processing in the Computer Age, V. Voller, T. Stachowicz (eds.), p. 97, TMS (1991).
  61. Balakrishna, S. and L.T. Biegler, “Constructive Targetting Approaches for Synthesis of Chemical Reactor Networks,” I & EC Research, 31, p. 300 (1992).
  62. Biegler, L.T. and J.B. Rawlings, “Optimization Approaches to Nonlinear Model Predictive Control,” Chemical Process Control - IV, p. 543, Y. Arkun and W. H. Ray (eds.) CACHE Corp., Austin, TX (1991).
  63. Tjoa, I-B and L.T. Biegler, “Simultaneous Strategies for Data Reconciliation and Gross Error Detection of Nonlinear Systems,” Computers and Chemical Engineering, 15, 10, p. 679 (1991).
  64. Bullard, L.G. and L.T. Biegler, “Iterative Linear Programming Strategies for Nonsmooth Simulation: Continuous and Mixed Integer Approaches,” Computers and Chemical Engineering, 16, 10/11, p. 949 (1992).
  65. Oliveira, N. and L.T. Biegler, “Extension of the Multi-step Newton -type Control Methods for Nonlinear Process Control,” Proceedings of ACC Meeting, p. 2349, Boston, MA (1991).
  66. Logsdon, J. S. and L. T. Biegler, “A Relaxed Reduced Space SQP Strategy for Dynamic Optimization Problems,” Computers and Chemical Engineering, 17, 4, p. 367 (1993).
  67. Tjoa, I-B and L. T. Biegler, “A Reduced Successive Quadratic Programming Strategy for Errors-in-Variables Estimation,” Computers and Chemical Engineering, 16, 6, p. 523 (1992).
  68. Bullard, L.G. and L.T. Biegler, “Iterative Linear Programming Strategies for Nonsmooth Simulation: Phase Equilibrium Applications,” Computers and Chemical Engineerng, 17, 1, p. 95 (1993).
  69. Amarger, R., L. T. Biegler and I. E. Grossmann, “REFORM: An Intelligent Modeling System for Design Optimization,” Computers and Chemical Engineering, 16, 7, p. 623 (1992).
  70. Varvarezos, D., I. E. Grossmann and L. T. Biegler, “An Outer Approximation Method for Multiperiod Design Optimization,” I & EC Research, 31, p. 1466 (1992).
  71. Biegler, L. T., “Tailoring Optimization Algorithms for Process Applications,” European Symposium on Computer Aided Process Engineering - 1, Computers and Chemical Engineering, 16, p. S81 (1992).
  72. Schmid, C. and L. T. Biegler , “Acceleration of Reduced Hessian Methods for Large-Scale Nonlinear Programming,” Computers and Chemical Engineering, 17, 5/6, p. 451 (1993).
  73. Oliveira, N. M. de, and L. T. Biegler, “An Extension of Newton-type Algorithms for Nonlinear Process Control,” Automatica , 31, 2, p. 281 (1995).
  74. Biegler, L.T.and I-B Tjoa, “A Parallel Implementation for Data Regression with Implicit Models,” Annals of Operations Research, 42, pp. 1-23 (1993).
  75. Balakrishna, S. and L. T. Biegler, “Targetting Strategies for the Synthesis and Heat Integration of Nonisothermal Reactor Networks” I & EC Research, 31, 9, p. 2152 (1992).
  76. Logsdon, J. S., and L. T. Biegler, “Accurate Determination of Optimal Reflux Policies for the Maximum Distillate Problem in Batch Distillation,” I & EC Research, 32, 4, p. 692 (1993).
  77. Biegler, L.T., “From Nonlinear Programming Theory to Practical Optimization Algorithms: A Process Engineering Viewpoint,” Proceedings ESCAPE-2 Conference, Computers and Chemical Engineering, 17, p. S63 (1993).
  78. Wolbert, D., B. Koehret, X. Joulia and L. T. Biegler,“Optimal Flowsheet Sensitivity Analysis in a Sensitivity Oriented Environment,” Proceedings ESCAPE-2 Conference, Computers and Chemical Engineering, 17, p. S117 (1993).
  79. Balakrishna, S. and L. T. Biegler, “A Unified Approach for the Simultaneous Synthesis of Reaction, Energy and Separation Systems,” I & EC Research, 32, p. 1372 (1993).
  80. Varvarezos, D. K., L. T. Biegler, I. E. Grossmann, “Multiperiod Design Optimization with SQP Decomposition,” Computers and Chemical Engineering, 18, 7, p. 579 (1994).
  81. Wolbert, D., X. Joulia, B. Koehret and L. T. Biegler, “Flowsheet Optimization and Optimal Sensitivity Analysis Using Exact Derivatives,” Computers and Chemical Engineering, 18, 11/12, p. 1083 (1994).
  82. Schmid, C. and L. T. Biegler, “Quadratic Programming Methods for Tailored Reduced Hessian SQP,” Computers and Chemical Engineering, 18, 9, p. 817 (1994).
  83. Biegler, L. T., J. Nocedal and C. Schmid, “A Reduced Hessian Method for Large Scale Constrained Optimization,” SIAM J. Optimization, 5, 2, p. 314 (1995).
  84. Oliveira, N. M. C. and L. T. Biegler, “Newton-type Algorithms for Nonlinear Constrained Chemical Process Control,” Proceedings Second European Control Conference, p. 2319 (1993).
  85. Oliveira, N. M. C. and L. T. Biegler, “Constraint Handling and Stability Properties of Model Predictive Control,” AIChE J., 40, 7, p. 1138 (1994).
  86. Schmid, C. and L. T. Biegler, “A Simultaneous Approach for Process Optimization with Existing Modeling Procedures,” Proc. European Symposium on Computer Aided Process Engineering, I Chemical Engineering Symposium Series, 133, p. 231 (1994). (Also in Chemical Engineering Research and Design, Part A, 72, p. 382 (1994).
  87. Albuquerque, J. S. and L. T. Biegler, “Decomposition Algorithms for On-line Estimation with Nonlinear Models,” Computers and Chemical Engineering, 19, 10, p. 1031 (1995). [see also Proc. ACC ’94]
  88. Oliveira, N. M. de, and L. T. Biegler, “A Trust Region Strategy for Newton-type Process Control,” Proc. ADCHEM ’94, p. 283 (1994).
  89. Schmid, C. and L. T. Biegler , “Reduced Hessian Succesive Quadratic Programming for Realtime Optimization,” Proc. ADCHEM ’94, p. 191 (1994).
  90. Tanartkit, P. and L. T. Biegler, “A Nested, Simultaneous Approach for Dynamic Optimization Problems,” Proc. Process Systems Engineering ’94 , p. 145 (1994) also in Computers and Chemical Engineering, 20, 6/7, p. 735 (1996).
  91. Varvarezos, D., L. T. Biegler and I.E. Grossmann, “Modeling Uncertainty and Analyzing Bottleneck Characteristics in Multiperiod Design Optimization,” Computers and Chemical Engineering, 19, 5, p. 497 (1995).
  92. Varvarezos, D., I.E. Grossmann and L. T. Biegler, “A Sensitivity-Based Approach for Flexibility Analysis and Design for Linear Process Systems,” Computers and Chemical Engineering, 19, 12, p. 1301 (1995).
  93. Tanartkit, P. and L. T. Biegler, “Stable Decomposition for Dynamic Optimization,” I & EC Research, 34, p. 1253 (1995).
  94. Hildebrandt, D. and L. T. Biegler, “Synthesis of Reactor Networks,” Foundations of Computer Aided Process Design ’94, AIChE Symposium Series, 91, L. T. Biegler and M. F. Doherty (eds.), p. 52 (1995).
  95. Lakshmanan, A. and L.T. Biegler, “Reactor Network Targeting for Waste Minimization,” in Pollution Prevention via Process and Product Modifications, AIChE Symposium Series, 90, M. El-Halwagi and D. Petrides (eds.), p. 128 (1995).
  96. Albuquerque, J. and L.T. Biegler, “Decomposition Algorithms for On-line Estimation with Nonlinear DAE Models,” Computers and Chemical Engineering, 21, 3, p. 283 (1997).
  97. Balakrishna, S. and L.T. Biegler, “Chemical Reactor Network Targeting and Integration: An Optimization Approach,” Advances in Chemical Engineering, 23, p. 248 (1996).
  98. Santos, L.O., N. de Oliveira and L.T. Biegler, “Reliable and Efficient Optimization Strategies for Nonlinear Model Predictive Control,” Proc. Fourth IFAC Symposium on Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (DYCORD ’95), p. 33 (1995).
  99. Lakshmanan, A. and L. T. Biegler, “Synthesis of Optimal Chemical Reactor Networks,” I & EC Research, 35, 4, p. 1344 (1995).
  100. Gopal, V. and L. T. Biegler, “Nonsmooth Dynamic Simulation with Linear Programming Based Methods,” Computers and Chemical Engineering, 21, 7, p. 675 (1997).
  101. Staus, G. H., L. T. Biegler and B. E. Ydstie, “Adaptive Control via Nonconvex Optimization,” in State of the Art in Global Optimization:: Computational Methods and Applications, C. Floudas and P. Pardolos (eds.), p. 119, Kluwer (1995).
  102. Albuquerque, J. S., and L. T. Biegler, “Gross Error Detection and Variable Classification in Dynamic Systems,” AIChE Journal, 42, 10, p. 2841 (1996).
  103. Tanartkit, P., and L. T. Biegler, “Reformulating Ill-Conditioned DAE Optimization Problems,” I & EC Research, 35, 6, p. 1853 (1996).
  104. Biegler, L. T., Claudia Schmid, and David Ternet, “A Multiplier-Free, Reduced Hessian Method For Process Optimization,” Large-Scale Optimization with Applications, Part II: Optimal Design and Control, L. T. Biegler, T. F. Coleman, A. R. Conn and F. N. Santosa (eds.), p. 101, IMA Volumes in Mathematics and Applications, Springer Verlag (1997).
  105. Grossmann, I. E., and L. T. Biegler, “Optimizing Chemical Processes,” Chemtech, p. 27, 25, 12 (1996).
  106. Bhatia, T., and L. T. Biegler, “Dynamic Optimization for Design, Scheduling of Multiproduct Batch Plants,” in Proc. CPC-V, AIChE Symposium Series, Vol. 93, C. Garcia, J. Kantor, B. Carnahan (eds.) pp. 323-327 (1997).
  107. Bhatia, T., and L. T. Biegler, “Dynamic Optimization in the Design and Scheduling of Multiproduct Batch Plants,” I & EC Research, 35, 7, p. 2234 (1996).
  108. Santos, L.O., D. C. Silva, N. deOliveria and L.T. Biegler, “Towards a Robust Nonlinear Model Predictive Control Formulation,” Proc. Controlo ’96, IFAC (1996).
  109. Tanartkit, P. and L. T. Biegler, “A Nested, Simultaneous Approach for Dynamic Optimization Problems-II: The Outer Problem,” Computers and Chemical Engineering, 21, 12, p. 1365 (1997).
  110. Albuquerque, J., L.T. Biegler and R. E. Kass, “Inferences in Dynamic Error-in-Variable-Measurement Problems,” AIChE J., 43, 4, p. 986 (1997).
  111. Lakshmanan, A. and L. T. Biegler, “Synthesis of Optimal Chemical Reactor Networks with Simultaneous Mass Integration,” I & EC Research, 35, 12, p. 4523 (1996).
  112. Gopal, V. and L. T. Biegler, “An Optimization Approach for Consistent Initialization and Reinitialization after Discontinuities of Differential Algebraic Equations,” SIAM J. Sci. Comp., 20(2), 447-467 (1999).
  113. L. O. Santos and L. T. Biegler, “A Tool to Analyze Robust Stability for Model Predictive Controllers,” J. Process Control, 9, p. 233 (1999).
  114. Bhatia, T., and L. T. Biegler, “Dynamic Optimization in Planning Under Process Model Uncertainty,” I & EC Research, 36, 9, p.3708 (1997).
  115. Albuquerque, J., V. Gopal, G. Staus, L. T. Biegler, and B. E. Ydstie, “Interior Point SQP Strategies For Structured Process Optimization Problems” Computers and Chemical Engineering, 21, p. S853 (1997).
  116. Lakshmanan, A. and L. T. Biegler, “A Case Study For Reactor Network Synthesis: The Vinyl Chloride Process” Computers and Chemical Engineering, 21, p. S785 (1997).
  117. L. T. Biegler, "Advances in Nonlinear Programming Concepts for Process Control," Proc. ADCHEM ’97, see also J. Process Control, 8, 5-6, p. 301 (1998).
  118. D. J. Ternet and L. T. Biegler, “Recent Improvements to a Multiplier Free Reduced Hessian Successive Quadratic Programming Algorithm,” Computers and Chemical Engineering, 22, 7/8. p. 963 (1998).
  119. Biegler, L. T., J. Nocedal, C. Schmid and D. J. Ternet, “Numerical Experience with a Reduced Hessian Method for Large Scale Constrained Optimization,” Computational Optimization and Applications, 15, p. 45 (2000).
  120. Cervantes, A. and L. T. Biegler, “Large scale DAE optimization using simultaneous nonlinear programming formulations,” AIChE J., 44, 5, p. 1038 (1998).
  121. Staus, G., L. T. Biegler, and B. E. Ydstie, “Global Optimization for Identification,” Proceedings of the 36th IEEE Conference on Decision and Control, p. 3010-15, vol.3 (1997).
  122. Lakshmanan, A., W. Rooney and L. T. Biegler, “A Detailed Case Study For Reactor Network Synthesis with the Vinyl Chloride Process,” Computers and Chemical Engineering, 23, p. 479 (1999).
  123. Albuquerque, J., V. Gopal, G. Staus, L. T. Biegler, and B. E. Ydstie, “Interior Point SQP Strategies For Large-scale, Structured Process Optimization Problems,” Computers and Chemical Engineering, 23, p. 543 (1999).
  124. Sentoni, G. B., J. P Guiver, H. Zhao and L. T. Biegler, “A State Space Approach to Nonlinear Process Modeling: Identification and Universality,” AIChE J., 44, 10, p. 2229 (1998).
  125. Raspanti, C. G.; Bandoni, J. A.; Biegler, L.. “New faster solution for the steady-state back-off problem,” Lat. Am. Appl. Res. (1998), 28(1-2), 129-134.
  126. Ternet, D. and L. T. Biegler, “Interior Point Methods for Reduced Hessian Successive Quadratic Programming,” Computers and Chemical Engineering, 23, p. 859 (1999).
  127. Bhatia, T. and L. T. Biegler, “Multiperiod Design and Planning with Interior Point Methods,” Computers and Chemical Engineering, 23, p. 919 (1999).
  128. Zhao, H., J. Guiver, R. Neelakantan and L. T. Biegler, “A Nonlinear Industrial Model Predictive Controller Using Integrated PLS and Neural Net State Space Models,” Proc. IFAC World Congress, Vol. N, p. 13 (1999).
  129. Gopal, V. and L. T. Biegler, “Large-Scale Inequality Constrained Optimization and Control: Some Recent Advances,” Issue on Emerging Technologies in Control, IEEE Controls Systems Magazine, 18(6), 59-68 (1998).
  130. Biegler, Lorenz T.; Seader, J. D.; Seider, Warren D. “Process simulation,” Computing in Chemical Engineering Education, B. Carnahan (ed.), CACHE Corporation, p. 161-170. (1996).
  131. Biegler, L. T., “Efficient Solution of Dynamic Optimization and NMPC Problems,” pp. 219-245, Nonlinear Model Predictive Control, F. Allgöwer and A. Zheng (eds.), Birkhäuser, Basel (2000).
  132. Bhatia, T. and L. T. Biegler, “Optimization Problems in Process Engineering: Opportunities for Integration,” in Proc. 36th Tutzing Symposium on Computer Applications in Process and Plant Engineering, v. 135, DECHEMA Monographs, H. Schmidt-Traub (ed.), p. 209 (1998).
  133. Bloss, K. F., L. T. Biegler and W. E. Schiesser, “Dynamic Process Optimization through Adjoint Formulations and Constraint Aggregation,” I & EC Research, 38, 2, p. 421 (1999).
  134. Gopal, V. and L. T. Biegler, “Smoothing Methods for the Treatment of Complementarity Conditions and Nested Discontinuities,” AIChE Journal, 45(7), p. 1535-1547. (1999).
  135. Lang, Y-D, A. Cervantes and L. T. Biegler, “Dynamic Optimization of a Batch Crystallization Process,” I & EC Research, 38, 4, p. 1469 (1998).
  136. Rooney, W. R. and L. T. Biegler, “Incorporating Joint Confidence Regions into Design under Uncertainty,” Computers and Chemical Engineering, 23, 10, p. 1563-1575 (1999).
  137. Lang, Y-D, A. Cervantes and L. T. Biegler, “ Dynamic Modeling and Optimization of Batch Crystallization Processes,” Proc. IFAC World Congress, Vol. N, p. 19 (1999).
  138. Cervantes, A. M. and L. T. Biegler, “A Stable Elemental Decomposition for Dynamic Process Optimization” , Computational Optimization and Applications, 120, pp. 41-57 (2000).
  139. Alkaya, D., S. Vasantharajan and L. T. Biegler, “Successive Quadratic Programming: Applications in the Process Industry,” Encyclopedia of Optimization, v. 5., pp. 400-413, C. Floudas and P. Pardalos (eds.), Kluwer (2001).
  140. Biegler, L. T., D. Alkaya, and K. Anselmo, “Multi-solver Modeling for Process Simulation and Optimization,” Foundations of Computer Aided Process Design ’99, AIChE Symposium Series, 323, M. Malone, J. Trainham, B. Carnahan (eds.), pp. 125-137 (2000).
  141. Sentoni G., Guiver J. and L. T. Biegler, “Model Reduction for Nonlinear DABNet Models” , Proceedings of American Control Conference, p. 2052 (1999).
  142. Raspanti, C. G., J. A. Bandoni, and L. T. Biegler, “New Strategies for Flexibility Analysis and Design under Uncertainty,” Computers and Chemical Engineering, 24, pp. 2193-2209 (2000).
  143. Biegler, L. T., and G. B. Sentoni, “Efficient Formulation and Solution of Nonlinear Model Predictive Control Problems,” Latin American Applied Research, 30(4), pp. 315-324 (2000).
  144. Rooney, W. C., and L. T. Biegler, “Multiperiod Reactor Network Synthesis: A Hybrid Approach,” Computers and Chemical Engineering, 24, pp. 2055-2068 (2000).
  145. Cervantes and L. T. Biegler, “Optimization Strategies for Dynamic Systems,” Encyclopedia of Optimization , v. 4, pp. 216-227, C. Floudas and P. Pardalos (eds.), Kluwer (2001).
  146. Cervantes, A. M., A. Wächter, R. Tutuncu and L. T. Biegler, “A Reduced Space Interior Point Strategy for Optimization of Differential Algebraic Systems,” Comp. Chem. Engr. , 24, pp. 39-51 (2000).
  147. Santos, L. O., P. Afonso, J. Castro, N. Oliveira and L. T. Biegler, “On-line Implementation of Nonlinear MPC,” Proc. ADCHEM 2000, pp. 731-736, IFAC (L. Biegler, A. Brambilla, C. Scali, eds.) (2000).
  148. Sentoni G and L. T. Biegler, “A Flexible Identification Strategy for DABNet Models,” Proc. ADCHEM 2000, pp. 857-862, IFAC (L. Biegler, A. Brambilla, C. Scali, eds.) (2000).
  149. Alkaya, D., S. Vasantharajan and L. T. Biegler, “Generalization of a Tailored Approach for Process Optimization” I & EC Research, 39, 6, pp. 1731-1742 (2000).
  150. Wächter, A. and Lorenz T. Biegler, “Failure of global convergence for a class of interior point methods for nonlinear programming,” Mathematical Programming, 88, 3, pp. 565-574 (2000).
  151. Cervantes, A., S. Tonelli, A. Brandolin, J. A. Bandoni and L. T. Biegler, “Large-Scale Dynamic Optimization of a Low Density Polyethylene Plant,” Computers and Chemical Engineering, 24, pp. S983-990, (2000).
  152. C., B. P. Hausberger, L. T. Biegler and D. Glasser, “Convex Attainable Region Projections for Reactor Network Synthesis,” Computers and Chemical Engineering, 24, pp. S225-230 (2000).
  153. Lang, Y-D, L. T. Biegler, E. Maier and R. Majewski, “An Optimal Catalyst Management Strategy for Oxo Processes,” Computers and Chemical Engineering, 24, pp. 1549-1554 (2000).
  154. Bartlett, R. A., A. Wächter and L. T. Biegler, “Active Set vs. Interior Point Methods for Nonlinear Model Predictive Control,” Proc. American Control Conference, p. 3505 (2000).
  155. Rooney, W. C., and L. T. Biegler, “Nonlinear Confidence Regions for Design Under Uncertainty,” AIChE J., 47, 8, p. 1794 (2001).
  156. Arora, N. and L. T. Biegler, “Redescending estimators for data reconciliation and parameter estimation,” Computers and Chemical Engineering, 25, p. 1585 (2001).
  157. Lang, Y-D and L. T. Biegler, “A Distributed Stream Method for Tray Optimization,” AIChE J., 48, 3, p. 582 (2002).
  158. Cervantes, A. M., S. Tonelli, A. Brandolin, J. A. Bandoni and L. T. Biegler, “Large-Scale Dynamic Optimization for Grade Transitions in a Low Density Polyethylene Plant,” Computers and Chemical Engineering, 26 p. 227 (2002).
  159. Santos, L. O., P. Afonso, J. Castro, N. Oliveira and L. T. Biegler, “On-line Implementation of Nonlinear MPC: An experimental case study,” Control Engineering Practice, 9, p. 847-852 (2001).
  160. Biegler, L. T., A. Cervantes and A. Wächter, “Advances in Simultaneous Strategies for Dynamic Process Optimization,” Chemical Engineering Science, 57, p. 575, (2002).
  161. Roscoe A. Bartlett and Lorenz T. Biegler, “rSQP++ : An Object-Oriented Framework for Successive Quadratic Programming” p. 316, in Large-scale PDE-Constrained Optimization, Lecture Notes in Computational Science and Engineering, Ghattas, Heinkenschloss, Keyes, Biegler and van Bloemen Waanders (eds.), Springer Verlag, Berlin (2003).
  162. L. T. Biegler and Andreas Wächter, “SQP SAND Strategies that Link to Existing Modeling Systems” p. 199, in Large-scale PDE-Constrained Optimization, Lecture Notes in Computational Science and Engineering, Ghattas, Heinkenschloss, Keyes, Biegler and van Bloemen Waanders (eds.), Springer Verlag, Berlin (2003).
  163. Kauchali, S., W. C. Rooney, L. T. Biegler, D. Hildebrandt and D. Glasser, “Linear Programming Formulations for Attainable Region Analysis,” Chemical Engineering Science, 57, p. 2015 (2002).
  164. A.G. Salinger, R.P. Pawlowski, J.N. Shadid, B.van Bloemen Waanders, R. Bartlett, G.C. Itle, and L. Biegler, “rSQP Optimization of Large-Scale Reacting Flow Applications with MPSalsa,” p. 45, in Large-scale PDE-Constrained Optimization, Lecture Notes in Computational Science and Engineering, Ghattas, Heinkenschloss, Keyes, Biegler and van Bloemen Waanders (eds.), Springer Verlag, Berlin (2003).
  165. Zhao, H., J. Guiver, R. Neelakantan and L. T. Biegler, “A nonlinear industrial model predictive controller using integrated PLS and neural net state-space model,” Control Engineering Practice, 9, p. 125 (2001).
  166. O. Ghattas and L. T. Biegler, “Parallel Algorithms for Large-Scale Simulation-Based Optimization,” in Modeling and Simulation-based Life Cycle Engineering, S Saigal, K P Chong, S T Thynell & H Morgan (eds.), Taylor and Francis, London, pp. 261-275 (2002).
  167. N. Arora, L. T. Biegler and G. Heyen, “Data Reconciliation Frameworks,” in Software Architectures and Tools for Computer Aided Process Engineering, R. Gani and B. Braunschweig (eds.), pp. 193-212, Elsevier, Amsterdam (2002).
  168. Wächter, Andreas and L. T. Biegler, “Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence” , SIAM Journal of Optimization, 16, 1, pp. 1-31 (2005).
  169. Wächter, Andreas and L. T. Biegler, “Line Search Filter Methods for Nonlinear Programming: Local Convergence” , SIAM Journal of Optimization, 16, 1, pp. 32-48 (2005).
  170. Bartlett, R. A., L. T. Biegler, J. Backstrom and V. Gopal, “Quadratic Programming Algorithms for Large-Scale Model Predictive Control,” Journal of Process Control, 12, p. 775 (2002).
  171. Arora, N. and L. T. Biegler, “A Trust Region SQP Algorithm for Equality Constrained Parameter Estimation with Simple Parametric Bounds,” Computational Optimization and Applications, 28, pp. 51-86 (2004).
  172. Bartlett, R. A. and L. T. Biegler, “QPSchur: A Dual, Active Set, Schur Complement Method for Large-scale and Structured Convex Quadratic Programming Algorithm,” Optimization and Engineering, 7, pp. 5-32 (2006).
  173. Jiang, L., L. T. Biegler and V. G. Fox, “Simulation and Optimization of Pressure Swing Adsorption Systems for Air Separation,” AIChE J, 49 (5), p. 1140 (2003).
  174. Raghunathan, A. and L. T. Biegler, “MPEC Formulations and Algorithms in Process Engineering,” Computers and Chemical Engineering, 27, pp. 1381-1392 (2003).
  175. Itle, G. C., A. G. Salinger, R. P. Pawlowski, J.N. Shadid and L. T. Biegler, “ A Tailored Optimization Strategy for PDE-based Design: Application to a CVD Reactor,” Computers and Chemical Engineering, 28, 3 pp. 291-302 (2004).
  176. Rooney, W. C. and L. T. Biegler, “ Optimal Process Design with Model Parameter Uncertainty and Process Variability,” AIChE J., 49, 2, p. 438 (2003).
  177. Martinsen, F., L. T. Biegler, B. A. Foss, “Application of Optimization Algorithms to Nonlinear MPC,” Journal of Process Control, 14 (8), pp. 853-865 (2004).
  178. Kauchali, S., B. Hausberger, D. Hildebrandt, D. Glasser and L. T. Biegler, “Automating Rector Network Synthesis: Finding a Candidate AR for the Water Gas Shift (WGS) Reaction,” Computers and Chemical Engineering, 28, pp. 149-160, (2004).
  179. Ko, Daeho, Ranjani Siriwardane and Lorenz T. Biegler, “Optimization of Pressure Swing Adsorption Process using Zeolite 13X for CO2 Sequestration” I & EC Research, 42, 2, p. 339 (2003).
  180. Poku, M. B., Lorenz T. Biegler, Jeffery D. Kelly, Ronald Coxhead, Vipin Gopal, “Nonlinear Programming Algorithms for Large Nonlinear Gasoline Blending Problems,” Proceedings of FOCAPO 2003, p. 605 (2003).
  181. Diaz, S., S. Tonelli, A. Bandoni and L. T. Biegler, “Dynamic Optimization for Switching Between Operating Modes in Cryogenic Plants” Proceedings of FOCAPO 2003, p. 601 (2003).
  182. Jockenhövel, T., L. T. Biegler and A. Wächter, “Dynamic Optimization of the Tennessee Eastman Process Using the OptControlCentre,” Computers and Chemical Engineering, 27, 11 pp 1513-1531 (2003).
  183. Raghunathan, A., V. Gopal, D. Subramanian, L. T. Biegler and T. Samad, "Dynamic Optimization Strategies for 3D Conflict Resolution of Multiple Aircrafts," AIAA J. of Guidance, Control and Dynamics, 27 (4), pp. 586-594 (2004).
  184. Raghunathan, A. U., J. R. Perez-Correa and L. T. Biegler, "Data Reconciliation and Parameter Estimation in Flux-Balance Analysis," Biotechnology and Bioengineering, 84, pp. 700-709 (2003).
  185. Ling Jiang, Lorenz T. Biegler, V. Grant Fox, "Design and Optimization of Pressure Swing Adsorption Systems with Parallel Implementation," Computers and Chemical Engineering, 29, 2, pp. 393-399 (2004); also in Process Systems Engineering 2003, pp. 232-237, B. Chen and A. Westerberg (eds.), Elsevier (2003).
  186. Biegler and Ignacio E. Grossmann, “Part I: Retrospective on Optimization,” Computers and Chemical Engineering, 28, 8, pp 1169-1192 (2004).
  187. Ignacio E. Grossmann and Lorenz T. Biegler, “Part II: Future Perspective on Optimization,” Computers and Chemical Engineering, 28, 8, pp 1193-1218 (2004).
  188. Arora, N. and L. T. Biegler, “Estimation of a Polymerization Process with a Composite Step Trust Region NLP Algorithm,” I & EC Research, 14, pp 3616 - 3631 (2004).
  189. Arvind U. Raghunathan and Lorenz T. Biegler, “Interior point methods for Mathematical Programs with Complementarity Constraints (MPCCs),” SIAM J. Optimization, 15, 3, pp. 720-750 (2005).
  190. Arvind U. Raghunathan, Vipin Gopal, Dharmashankar Subramanian, Lorenz T. Biegler and Tariq Samad, “3D Conflict Resolution of Multiple Aircraft via Dynamic Optimization,” Proceedings of AIAA Conference on Guidance, Navigation and Control, Austin, TX (2003).
  191. Poku, M. B., J. D. Kelly, L. T. Biegler, “Nonlinear Programming Algorithms for Process Optimization with Many Degrees of Freedom,” I & EC Research, 43, 21, pp. 6803-6812 (2004).
  192. Raghunathan, Arvind, M. Soledad Diaz, Lorenz T. Biegler “An MPEC Formulation for Dynamic Optimization of Distillation Operation,” Computers and Chemical Engineering, 28/10 pp. 2037-2052 (2004).
  193. Xu, C., P. M. Follmann, L. T. Biegler and M. S. Jhon, “Numerical Simulation and Optimization of a Direct Methanol Fuel Cell” Computers and Chemical Engineering, 29, 8, pp, 1849-1860 (2005).
  194. Laird, C. D., L. T. Biegler, B. van Bloemen Waanders, R. A. Bartlett, “Time Dependent Contaminant Source Determination for Municipal Water Networks Using Large Scale Optimization,” ASCE Journal of Water Resource Management and Planning, 131, 2, p. 125 (2005).
  195. Jiang, L., V. G. Fox and L. T. Biegler, “Simulation and Optimal Design of Multiple-bed Pressure Swing Adsorption Systems,” AIChE J., 50, 11, pp. 2904-2917 (2004).
  196. Kameswaran, S., G. Staus and L. T. Biegler, “Parameter Estimation of Core Flood and Reservoir Models,” Computers and Chemical Engineering, 29, 8, pp. 1787-1800 (2005).
  197. Anibal M. Blanco, J. Alberto Bandoni and L. T. Biegler, “Re-design of the Tennessee Eastman Challenge Process: An Eigenvalue Optimization Approach,” Proceedings of Foundations of Computer Aided Process Design, p. 517, C. A. Floudas and R. Agrawal (eds.), CACHE Corporation, Austin, TX (2004).
  198. Biegler, L. T., and Ignacio E. Grossmann, Challenges and Research Issues for Product and Process Design Optimization, Proceedings of Foundations of Computer Aided Process Design, p. 99, C. A. Floudas and R. Agrawal (eds.), CACHE Corporation, Austin, TX (2004).
  199. Raghunathan, A. U., J. R. Perez-Correa, E. Agosin and L. T. Biegler, “Parameter Estimation in Metabolic Flux Balance Models for Batch Fermentation - Formulations and Solution Using Differential Variational Inequalities,” Annals of Operations Research, 148, 251-270 (2006).
  200. Biegler, L. T., Ling Jiang, and V. Grant Fox, “Recent advances in optimal design of pressure swing adsorption systems,” Separation and Purification Reviews, 33, 1, pp. 1-39 (2004).
  201. Wächter, A., and L. T. Biegler, “On the Implementation of an Interior Point Filter Line Search Algorithm for Large-Scale Nonlinear Programming,” Mathematical Programming, 106, 1, pp. 25-57 (2006).
  202. Srinivasan, B., L. T. Biegler and D. Bonvin, “Tracking the Necessary Conditions of Optimality with Changing Set of Active Constraints using a Barrier-Penalty Function,” Computers and Chemical Engineering, 32 (3), p.572-579, (2008).
  203. Flores-Tlacuahuac, A., L. T. Biegler and E. Saldivar-Guerra, “Dynamic Optimization of HIPS Open-Loop Unstable Polymerization Reactors,” I & EC Research, 44, 8, pp. 2659-2674 (2005).
  204. Laird, C. D., Biegler, L. T. and van Bloemen Waanders, B. G. “Real-time, large scale optimization of water network systems using a subdomain approach,” pp. 291-308, in Biegler, L. T., O. Ghattas, M. Heinkenschloss, D. Keyes, and B. van Bloemen Waanders (eds.), Real-Time PDE-Constrained Optimization, SIAM Series in Computational Science and Engineering, 3, SIAM, Philadelphia, PA (2007).
  205. Hong, W., S. Wang, P. Li, G. Wozny, L. T. Biegler, “Quasi-Sequential Approach to Large-Scale Dynamic Optimization Problems,” AIChE Journal, 52, 1, p. 255 (2006).
  206. Flores-Tlacuahuac, A., L. T. Biegler and E. Saldivar-Guerra, “Optimal Grade Transitions in the HIPS Polymerization Process,” I&EC Research, 45(18); 6175-6189 (2006).
  207. Xu, C., L. T. Biegler and M. S. Jhon, “Numerical Systematic Optimization of a H2 PEMFC Power Generation System with Heat Integration” AIChE Journal, 52, 7, pp. 2496-2506 (2006).
  208. Flores-Tlacuahuac, A. and L. T. Biegler, A Robust and Efficient Mixed-Integer Non-Linear Dynamic Optimization Approach for Simultaneous Design and Control, Computers and Chemical Engineering, 31, pp. 588-600 (2007), also in Proceedings of European Symposium on Computer Aided Process Engineering - ESCAPE 15 (2006).
  209. Knaebel, S., D-H Ko and L. T. Biegler, “Simulation and Optimization of a Pressure Swing Adsorption System: Recovering Hydrogen from Methane,” Adsorption, 11, pp. 615-620 (2005).
  210. Ko, Daeho, Ranjani Siriwardane and Lorenz T. Biegler, “Optimization of Pressure Swing Adsorption and Fractionated Vacuum Pressure Swing Adsorption Processes for CO2 Sequestration,” Ind. Eng. Chem. Res., 44, 8084-8094 (2005).
  211. Laird, C. D., L. T. Biegler and B. V. Bloemen Waanders, “A Mixed Integer Approach for Obtaining Unique Solutions in Source Inversion of Drinking Water Networks,” ASCE Journal of Water Resource Management and Planning, 132, 4, pp. 242-251 (2006).
  212. Kameswaran, S. and L. T. Biegler, “Convergence Rates for Direct Transcription of Optimal Control Problems Using Collocation at Radau Points,” Computational Optimization and Applications, 41, 1, pp. 81-126 (2008).
  213. Kameswaran, S., and L. T. Biegler, “Convergence Rates for Direct Transcription of Optimal Control Problems with Final-time Equality Constraints using Collocation at Radau Points,” Proc. 2006 American Control Conference, p. 165-171 (2006).
  214. Lang, Y-D., and L. T. Biegler, “Large-scale nonlinear programming with a CAPE-OPEN compliant interface,” Chemical Engineering Research and Design (Trans. IChemE, Part A), 83, pp. 718-723 (2005).
  215. Osorio, D., J. R. Perez-Correa, L. T. Biegler and E. Agosin, “Optimization of Wine Still Operation,” Journal of Agricultural and Food Chemistry, 53(16); 6326-6331 (2005).
  216. Arrieta-Camacho, J. J., L. T. Biegler and D. Subramanian, “NMPC-Based Real-Time Coordination of Multiple Aircraft,” pp. 629-239, in Assessment and Future Directions of Nonlinear Model Predictive Control, Findeisen, R., F. Allgöwer and L. T. Biegler (eds.), Springer, Heidelberg (2007).
  217. Arrieta-Camacho, J. J. and L. T. Biegler, “Real Time Optimal Guidance of Low-Thrust Spacecraft: An Application of Nonlinear Model Predictive Control,” Annals of New York Academy of Sciences, 1065, p. 174 (2006).
  218. Kawajiri, Y. and L. T. Biegler, “Optimization Strategies for Simulated Moving Bed and PowerFeed Processes,” AIChE Journal, 52(4):1343-1350, (2006).
  219. J. R. Perez-Correa and L. T. Biegler, “Nonlinear Dynamic Data Reconciliation Using General Optimization Solvers within Matlab,” Proceedings of IMAACA ’2005 (2005).
  220. V. de la Torre, V. G. Fox, J. A. Bandoni and L. T. Biegler, “Model Predictive Controller for Periodic Adsorption Processes,” Proceedings of ENPROMER 2005, (2005).
  221. Kameswaran, S. and Lorenz T. Biegler, “Simultaneous Dynamic Optimization Strategies: Recent Advances and Challenges,” Computers and Chemical Engineering, 30, pp. 1560-1575 (2006), (also in Proceedings of Chemical Process Control 7).
  222. Yoshiaki Kawajiri and Lorenz T. Biegler, “Large-Scale Optimization Strategies for Simulated Moving Beds,” Proc. PSE ’2006, Marquardt and Pantelides (eds.), Elsevier, Amsterdam, pp. 131-136 (2006).
  223. Martinsen, F, Biegler, L T, Foss, B. A., “A new optimization algorithm with application to nonlinear MPC,” Modelling, Identification and Control, 2005; 26 (1) p. 3-22
  224. Kameswaran, S. and L. T. Biegler, “Advantages of a Nonlinear Programming Based Methodologies for Inequality Path Constrained Optimal Control Problems - A Numerical Study,“ SIAM J. Scientific Computing, 30(2), pp. 957-981 (2008).
  225. Flores Tlacuahuac, A., L. T. Biegler, “On the Global Dynamic Optimization of Highly Nonlinear Systems,” Proc. PSE ’2006, Marquardt and Pantelides (eds.), Elsevier, Amsterdam, pp. 1227-1232 (2006).
  226. Lang, Y-D, and L. T. Biegler, “A Software Environment for Simultaneous Dynamic Optimization,” Computers and Chemical Engineering, 31, 931-942 (2007).
  227. Biegler, L. T., “A Survey of Simultaneous Dynamic Optimization Strategies,” Chemical Engineering and Processing 46, pp. 1043-1053 (2007).
  228. Bonami, P., Biegler, L. T., Conn, A. R., Cornuejols, G., Grossmann, I. E., Laird, C. D., Lee, J., Lodi, A., Margot, F., Sawaya, N., Wächter, A., “An algorithmic framework for convex mixed integer nonlinear programs”, Discrete Optimization, 5, pp. 186-204 (2008).
  229. Kawajiri, Y. and L. T. Biegler, “A Nonlinear Programming Superstructure for Optimal Dynamic Operations of Simulated Moving Bed Processes,” I&EC Research, 45, 8503-8513 (2006).
  230. Victor M. Zavala and Lorenz T. Biegler, “Large-Scale Parameter Estimation in Low-Density Polyethylene Tubular Reactors,” I&EC Research, 45(23), pp. 7867-7881 (2006).
  231. Jussi Hakanen, Yoshiaki Kawajiri, Kaisa Miettinen and Lorenz T. Biegler, “Interactive Multi-Objective Optimization for Simulated Moving Bed Processes,” Control and Cybernetics, 36(2), pp. 283-302 (2007).
  232. Borrelli, F., D. Subramanian, L. T. Biegler, and A. Raghunathan “MILP and NLP Techniques for Centralized Trajectory Planning of Multiple Unmanned Air Vehicles,” Proc. 2006 American Control Conference, pp. 5764-5769 (2006).
  233. Kawajiri, Y. and L. T. Biegler, “Large Scale Nonlinear Optimization for Asymmetric Operation and Design of Simulated Moving Beds,” J. Chromatography A, 1133, pp. 226-240 (2006).
  234. C. D. Laird and L. T. Biegler, “Large-Scale Nonlinear Programming for Multi-scenario Optimization,” pp. 323-336, in Modeling, Simulation and Optimization of Complex Processes, H. G. Bock, E. Kostina, H-X Phu, R. Rannacher (eds.), Springer (2008).
  235. Victor M. Zavala, Carl D. Laird and Lorenz T. Biegler, “Fast solvers and rigorous models: can both be accommodated in NMPC? ” Journal of Robust and Nonlinear Control, 18, pp. 800-815 (2008).
  236. S. Kameswaran, L. T. Biegler, S. Tobias Junker and Hossein Ghezel-Ayagh, “Optimal Off-Line Trajectory Planning of Hybrid Fuel Cell/Gas Turbine Power Plants,” AIChE Journal, 53, 2, pp. 450-474 (2007).
  237. M. Araya, J. J. Arrieta, J. R. Perez-Correa, L. T. Biegler and H. Jorquera, “Fast and Reliable Calibration of Solid Substrate Fermentation Kinetic Models Using Advanced Nonlinear Programming Techniques,” Electronic Journal of Biotechnology, 10, 1, pp. 48-60 (2007).
  238. Jussi Hakanen, Yoshiaki Kawajiri, Lorenz T. Biegler and Kaisa Miettinen “Interactive Multiobjective Optimization of Superstructure SMB Processes,” in Multi-Objective Programming and Goal Programming: Theoretical Results and Practical Applications, V. Barichard, M. Ehrgott, X. Gandibleux, and T’kindt (eds.), Lecture Notes on Economics and Mathematical Systems, Vol. 618, pp. 221-230, Springer (2009).
  239. Yoshiaki Kawajiri and Lorenz T. Biegler, “Large Scale optimization strategies for zone configuration of simulated moving beds,” Computers and Chemical Engineering, 32, pp. 135-144 (2008).
  240. V. M. Zavala, C. D. Laird and L. T. Biegler, “Interior-Point Decomposition Approaches for Parallel Solution of Large-Scale Nonlinear Parameter Estimation Problems” Chemical Engineering Science, 63, pp. 4834-4845 (2008).
  241. Andrea Walther and L. T. Biegler, "A trust-region algorithm for nonlinear programming problems with dense constraint Jacobians,“ Computation Optimization and Applications, 19, pp. 307-325 (2007).
  242. Kawajiri, Y. and L. T. Biegler, “Comparison of configurations of a four-column simulated moving bed process by multi-objective optimization," Adsorption, 14, no. 2, pp. 433-442 (2007)
  243. U. Kaplan, M. Turkay, L. Biegler, B. Karasozen, “Modeling and Simulation of Metabolic Networks for Estimation of Biomass Accumulation Parameters,” Discrete Applied Mathematics, 157, pp. 2483-2493 (2009)
  244. Finlayson, B. A., Biegler, L.T. and I.E. Grossmann, “Mathematics in Chemical Engineering,“ in Ullmann’s Encyclopedia of Industrial Chemistry, VCH-Wiley, Weinheim (2007)
  245. Biegler, L. T., “Large-scale Nonlinear Programming: An Integrating Framework for Enterprise-Wide Dynamic Optimization,“ Computer Aided Chemical Engineering, 24, V. Plesu and P. S. Agachi (eds.), pp. 575-582, Elsevier, Amsterdam (2007)
  246. Baumrucker, B.T., J. G. Renfro and L.T. Biegler “MPEC Problem Formulations in Chemical Engineering Applications,” Computers and Chemical Engineering, 32, pp. 2903-2913 (2008)
  247. Zavala, V., and L. T. Biegler, “The advanced-step NMPC controller: optimality, stability and robustness,“ Automatica 45, pp. 86-93 (2009)
  248. Agarwal, A., L. T. Biegler and S. E. Zitney, “Simulation and Optimization of Pressure Swing Adsorption Systems using Reduced-Order Modeling,” I&EC Research, 48, pp. 2327-2343 (2009)
  249. Santos, L., J. A. Castro and L. T. Biegler, "A tool to analyze robust stability for constrained MPC," Journal of Process Control, 18, pp. 383-390 (2008)
  250. Zavala, V., M., C. D. Laird and L. T. Biegler, “A Fast Computational Framework for Large-Scale Moving Horizon Estimation,” Journal of Process Control, 18(9), pp. 876-884 (2008)
  251. Biegler, L. T., “Optimization” pp. 3-60 – 3-70 in Perry’s Chemical Engineer’s Handbook, 8th edition, D. W. Green (ed.), McGraw-Hill, New York (2008)
  252. Jain, P., L. T. Biegler, and M. S. Jhon, “Parametric Study and Estimation in CFD-based PEM Fuel Cell Models,” AIChE Journal, 54, 8, pp. 2089-2100 (2008)
  253. U. Kaplan, M. Türkay, B. Karasözen, L. T. Biegler, “Optimization of Supply Chain Systems with Price Elasticity of Demand,” December 2 2010 DOI: 10.1287/ijoc.1100.0421
  254. Flores Tlacuahuac, A. and L. T. Biegler, “ Integrated Control and Process Design during Optimal Polymer Grade Transition Operations,” Computers and Chemical Engineering, 32(11), pp. 2823-2837 (2008
  255. Flores Tlacuahuac, A., S. Terrazas Moreno, and L. T. Biegler, “On Global Optimization of Highly Nonlinear Dynamic Systems,” I & EC Research, 47, 8, pp 2643 - 2655 (2008)
  256. Zavala, V. M.; Huang, R. and Biegler, L.T. “Simultaneous Nonlinear Programming Strategies for Nonlinear Model Predictive Control Applications: Recent Advances and Future Directions,” Proceedings of FOCAPO(2008)
  257. Zavala, V. M.; and Biegler, L.T. “Large-Scale Nonlinear Programming Strategies for the Operation of Low-Density Polyethylene Tubular Reactors,” in Computer Aided Chemical Engineering, 25, pp. 629-634, B. Braunschweig and X. Joulia (eds.), Elsevier, Amsterdam (2008)
  258. Biegler, L. T. and V. M. Zavala, “ Large-scale Nonlinear Programming using IPOPT: An Integrating Framework for Enterprise-Wide Dynamic Optimization,” Computers and Chemical Engineering, 33 , pp. 575-582 (2009)
  259. Perez-Correa, J. R., C. Gelmi, L. T. Biegler, “Dynamic Optimization,” in Optimization in Food Engineering, F. Erdogdu (ed.), pp. 229-253, CRC Press (2008)
  260. Rui Huang, V. M. Zavala and L. T. Biegler, “Advanced Step Nonlinear Model Predictive Control for Air Separation Units,” Journal of Process Control v.19 678-685 (2009).
  261. Parag Jain, M. S. Jhon and L. T. Biegler, “Optimization of Polymer Electrolyte Fuel Cell Cathodes" Electrochemical and Solid-State Letters, 11(10), pp. B193-B196 (2008)
  262. V. M. Zavala and L. T. Biegler, “Nonlinear Programming Sensitivity for Nonlinear State Estimation and Model Predictive Control,” in Assessment and Future Directions of Nonlinear Model Predictive Control, L. Magni, D. Raimondo, F. Allgöwer, Springer, Heidelberg, accepted for publication (2008)
  263. V. M. Zavala, and L.T.Biegler, “Optimization-Based Strategies for the Operation of Low-Density Polyethylene Tubular Reactors: Moving Horizon Estimation,” Computers and Chemical Engineering, 33, pp. 379-390 (2009)
  264. Lang, Y-D, A. Malacina, L. T. Biegler, S. Munteanu, J. I. Madsen and S. E. Zitney, “Reduced Order Model Based on Principal Component Analysis For Process Simulation and Optimization,” Energy and Fuels, 23 1695-1706 (2009)
  265. Baumrucker, B. T. and L.T. Biegler, “MPEC Strategies for Optimization of Hybrid Dynamic Systems,” Journal of Process Control, 19, 1248-1256 (2009)
  266. V. M. Zavala, and L.T.Biegler, “Optimization-Based Strategies for the Operation of Low-Density Polyethylene Tubular Reactors: Nonlinear Model Predictive Control,” Computers and Chemical Engineering, 33, pp. 1735-1746 (2009)
  267. L. T. Biegler, “Efficient Nonlinear Programming Algorithms for Chemical Process Control and Operations,” in System Modeling and Optimization, IFIP AICT 312, A. Korytowski, W. Mitkowski and M. Szymkat (eds.), Springer, Berlin, pp. 21-35,(2009)
  268. W. Lin, L. T. Biegler, A. M. Jacobson, \Modeling and Optimization of Seed Polymerization Process," Chemical Engineering Science, 65, 4350 - 4362 (2010)
  269. A. Agarwal, L. T. Biegler, S. E. Zitney, \A Superstructure-based Optimal Synthesis of PSA cycles for Post-Combustion CO2 Capture," AIChE J., 56, 7, pp. 1813-1828 (2010)
  270. Baumrucker, B. T. and L.T. Biegler, \MPEC Strategies for Cost Optimization of Pipeline Operations," Computers and Chemical Engineering, 34, pp. 900 - 913 (2010)
  271. R. Huang, S. Patwardhan, L. T. Biegler, \ Robust Extended Kalman Filter Based Nonlinear Model Predictive Control Formulation," Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, Paper FrC02.5, pp. 8046-8051, (2009)
  272. R. Huang, L. T. Biegler, \Robust nonlinear model predictive controller design based on multi-scenarioformulation," Proceedings of American Control Conference - 2009, pp. 2341-2342 (2009)
  273. R. Huang, S. Patwardhan, L. T. Biegler, \Multi-scenario-based robust nonlinear model predictive control with rst principle dynamic models," in 10th International Symposium on Process Systems Engineering - PSE2009, R. Alves, C. Oller, E. Chalbaud (eds.), Elsevier, Amsterdam, pp. 1293-1302 (2009)
  274. R. Huang, S. Patwardhan, L. T. Biegler, \Robust output-feedback Nonlinear model predictive control using high-gain observers," in 10th International Symposium on Process Systems Engineering - PSE2009, R. Alves, C. Oller, E. Chalbaud Biscaia (eds.), Elsevier, Amsterdam, pp. 1611-1616 (2009)
  275. R. Kamath, I. E. Grossmann, L. T. Biegler, \Modeling of Multi-Stream Heat Exchangers with Phase Changes for Cryogenic Applications," in 10th International Symposium on Process Systems Engineering - PSE2009, R. Alves, C. Oller, E. Chalbaud Biscaia (eds.), Elsevier, Amsterdam, pp. 921-927 (2009)
  276. R. Lopez Negrete, S. Patwardhan, L. T. Biegler, \Approximation of Arrival Cost in Moving Horizon Estimation Using Constrained Particle Filter Formulations," in 10th International Symposium on Process Systems Engineering - PSE2009, R. Alves, C. Oller, E. Chalbaud Biscaia (eds.), Elsevier, Amsterdam, pp. 1299-1304 (2009)
  277. L. T. Biegler, \Technology Advances for Dynamic Real-Time Optimization," in 10th International Symposium on Process Systems Engineering - PSE2009, R. Alves, C. Oller, E. Chalbaud Biscaia (eds.), Elsevier, Amsterdam, pp. 1-6 (2009)
  278. A. Agarwal, L. T. Biegler, S. E. Zitney, \A Superstructure-based Optimal Synthesis of PSA cycles for Pre-Combustion CO2 Capture," I & EC Research, 49 (11), pp 5066 - 5079 (2010)
  279. Sachin C. Patwardhan, Rui Huang, Lorenz T. Biegler, \Stability of a Class of Discrete Nonlinear Extended Observers," Journal of Process Control, 20, p. 1150-1160 (2010)
  280. R. Huang, L. T. Biegler and S. C. Patwardhan, \Offset-free Advanced Step Nonlinear Model Predictive Control Based on Moving Horizon Estimation," I & EC Research, 49, 17, pp. 7882-7890 (2010)
  281. Lopez Negrete, R., L. T. Biegler and S. Garcia-Munoz, \An E cient Nonlinear Programming Strategy for PCA Models with Incomplete Data Sets," Journal of Chemometrics, 24, 5-6, pp. 301-311, (2010)
  282. R. S. Kamath, I. E. Grossmann and L. T. Biegler, \Aggregate Models based on Improved Group Methods for Simulation and Optimization of Distillation Systems," Computers and Chemical Engineering, 34, 1312 - 1319, (2010)
  283. L.T. Biegler, I. E. Grossmann, and A.W. Westerberg, \Issues and Trends in the Teaching of Process and Product Design," AIChE J., 56, 5, pp. 1120-1125
  284. W-F. Chen, Z-J Shao, K-X Wang, X. Chen and L. T. Biegler, \Convergence Depth Control for Interior Point Methods," AIChE Journal, 56(12), p. 3146-3161 (2010)
  285. R. S. Kamath, L. T. Biegler, and I. E. Grossmann, \An equation-oriented approach for handling thermodynamics based on cubic equation of state in process optimization, Computers and Chemical Engineering, 34, pp. 2085-2096 (2010)
  286. Parag Jain, Lorenz T. Biegler, and Myung S. Jhon, \Sensitivity of PEFC Models with Cathode Layer Micro-Structures," Journal of Electrochemical Society, 157, 8, pp. B1222-B1229, (2010)
  287. S. R. Vetukuri, L. T. Biegler and A. Walther, \An Inexact Trust-Region Algorithm for the Optimization of Periodic Adsorption Processes," I & EC Research, 49, 12004-12013 (2010)
  288. K.X. Wang, Z.J. Shao, L. T. Biegler, Y.D. Lang, J.X. Qian, “Robust Extensions for Reduced-Space Barrier NLP Algorithms,” Computers and Chemical  Engineering,  35, 1994 – 2004 (2011)
  289. R. Lopez Negrete,  S. Patwardhan, L. T. Biegler, ”Constrained Particle Filter  Approach  for Approximation of the Arrival  Cost in Moving Horizon Estimation,” Journal  of Process  Control,  21, pp.  909–919 (2011)
  290. P.  Heidebrecht, K. Sundmacher, L. T.  Biegler,  ”Optimal Design of Nonlinear  Temperature Programmed Reduction (N-TPR) Experiments,” AIChE  Journal,  57, 10, pp.  2888-2901 (2011)
  291. R. S. Kamath, I. E. Grossmann, L. T. Biegler, “Modeling Multi-stream Heat Exchangers  with and without Phase  Changes  for Simultaneous Optimization and  Heat  Integration,” AIChE  Journal,  58, 1, pp.  190-204 (2012)
  292. R. Huang, S. C. Patwardhan, L. T. Biegler, \Adaptive Quasi-In nite Horizon NMPC of a Continuous Fermenter," Proc. 9th Intl. Symp. Dyn. Cont. Proc. Sys. (DYCOPS 2010), M. Kothare, M. Tade, A. Vande Wouwer, I. Smets (Eds.) pp. 605-610, (2010)
  293. R. Huang, S. C. Patwardhan, L. T. Biegler, \O set-free Nonlinear Model Predictive Control Based on Moving Horizon Estimation for an Air Separation Unit," Proc. 9th Intl. Symp. Dyn. Cont. Proc. Sys. (DYCOPS 2010), M. Kothare, M. Tade, A. Vande Wouwer, I. Smets (Eds.) pp. 617-622, (2010)
  294. W. Lin, L. T. Biegler, A. M. Jacobson,  “Kinetic Modeling of Semi-Interpenetrating Polymer Network (SIPN) Process - A Comprehensive  Study on the Case of Polyethylene/Polystyrene Semi-I IPN,” Macromol.  Theory Simul.,  20(2),pp.  146 – 165 (2011)
  295. M. Bartl,  P.  Li and  L. T.  Biegler,  “Improvement  of State  Profile  Accuracy  in Nonlinear  Dynamic  Optimization  with the Quasi-Sequential Approach,” AIChE  Journal,  57, 8, pp.  2185-2197 (2011)
  296. A. Walther, S. R. Vetukuri, and L. T. Biegler, “A first-order  convergence analysis  of trust-region methods with inexact  Jacobians and inequality constraints,” Optimization Methods and Software, 27, 2, pp.  373–389 (2012)
  297. A. Agarwal  and  L. T.  Biegler,  “A Trust-region Framework  for Constrained Optimization using Reduced Order  Modeling,”  Optimization and Engineering,  14, 1, pp.  3-36 (2013)
  298. E. Harinath, L. T.  Biegler,  G. A. Dumont, “Control  and  Optimization strategies for thermo-mechanical pulping processes:  Nonlinear model predictive  control,”  Journal of Process Control, 21, pp.  519 - 528 (2011)
  299. R.  Huang,  E.  Harinath, L. T.  Biegler,  “Lyapunov  Stability of Economically-Oriented NMPC  for Cyclic Processes,”  J ournal  of Process  Control,  21, pp.  501 - 509 (2011)
  300. Y-D Lang, S. E. Zitney, L. T. Biegler, “Optimization of IGCC Processes with Reduced Order CFD Models,” Computers and Chemical  Engineering,  35, pp.  1705 – 1717 (2011)
  301. Jhon, M. J., R. L. Smith, S. H. Vemuri, P. S. Chung, D. Kim, and L. T. Biegler, \Hierarchical Multiscale Modeling Method for Head/Disk Interface," IEEE Trans. Magnetics, 47, 1, 87-93 (2011)
  302. Luo, J., L. T. Biegler, “Dynamic  Optimization of Aeration  Operations for a Benchmark Wastewater Treatment Plant,” Proc.  18th IFAC  World  Congress, pp.  14189-14194 (2011)
  303. Harinath, E., L. T. Biegler, G. Dumont, “Advanced  Step Nonlinear Model Predictive Control  for Two-stage Thermo  Mechanical  Pulping  Process,”  Proc.  18th IFAC  World  Congress, pp.  3653-3658 (2011)
  304. Huang,  R.,  L. T.  Biegler,  “Stability of Economically-Oriented NMPC  with  Periodic  Constraint,” Proc. 18th IFAC  World  Congress, pp.  10500-10504 (2011)
  305. Chung,  P. S., M. S. Jhon  and L. T. Biegler, “The  Holistic Strategy in Multi-Scale  Modeling,”  Advances  in Chemical  Engineering,  40, pp.  59–118 (2011)
  306. W.  Chen,  Z. Shao,  K.  Wang,  X. Chen,  L. T.  Biegler,  “Random Sampling-based Automatic  Parameter Tuning  for Nonlinear  Programming Solvers,” I & EC Research,  50, 7, pp.  3907-3918 (2011)
  307. Smith,  R. L., P.S. Chung  PS, J. A. Steckel, M. S. Jhon,  L. T. Biegler, “Force  field parameter estimation of functional  perfluoropolyether lubricants,” Journal  of Applied  Physics,  109, 7, Article  # 07B728 (2011)
  308. J.  T.  Lepp¨avuori,  M. M. Domach,  L. T.  Biegler,  “Parameter Estimation in Batch  Bioreactor  Simulation Using Metabolic  Models: Sequential  Solution  with Direct  Sensitivities,” I & EC Research,  50, pp.  12080 – 12091 (2011)
  309. D. Hoang Minh, H. Arellano-Garcia, G. Wozny,  L. T. Biegler, “An efficient high resolution  FEM  for PDE systems,”  Computer Aided Chemical  Engineering,  v. 29, pp.  56-60 (2011)
  310. R. Huang,  E. Harinath, L. T. Biegler, “Robust stability of an economically-oriented infinite horizon NMPC for cyclic processes,”  Journal  of Process  Control,  22, pp.  51-59 (2012)
  311. R. L´opez-Negrete and  L. T. Biegler, “A Moving Horizon Estimator for Multi-Rated Measurements Based on Nonlinear  Programming Sensitivity,” Journal  of Process  Control,  22 (2012), pp.  677-688
  312. H. Pirnay, R.  Lopez-Negrete,  L. T.  Biegler,  “Optimal Sensitivity  Based  on IPOPT,”  Mathematical Programming  Computation, 4, pp.  307  331 (2012)
  313. Y. Nie, L. T.  Biegler, J.  Wassick,  “Integrated Scheduling  and  Dynamic  Optimization of Batch  Processes Using State  Equipment Networks,”  AIChE  Journal,  58, 11, pp.  34163432 (2012)
  314. F. D’Amato,  A. Kumar,  R. Lopez-Negrete  and  L. T.  Biegler, “Fast Nonlinear  Model Predictive Control: Optimization Strategy and  Industrial Process  Applications,” Proceedings  of CPC  2012, extended  version in Computers and Chemical  Engineering  51, pp.  5564 (2013)
  315. Rui  Huang,  Sachin  C.  Patwardhan, Lorenz  T.  Biegler,  “Robust stability of nonlinear  model  predictive control  based on extended  Kalman  filter,”  Journal  of Process  Control,  22, pp.  82-89 (2012)
  316. W. F. Chen,  K. X. Wang,  Z. J. Shao and L. T. Biegler, “Moving finite elements  for dynamic  optimization with direct transcription formulations” pp.  241-259, in Control and Optimization with Differential-Algebraic Constraints, L. Biegler, S. Campbell,  V. Mehrmann (eds.),  SIAM, Philadephia (2012)
  317. A. Gopalakrishnan, L.T. Biegler, “Economic  Nonlinear  Model Predictive Control  for the Periodic  Optimal Operation of Gas Pipeline  Networks,”  Computers and Chemical  Engineering,  52, pp.  90-99, (2013)
  318. J.  I.  Laiglecia,  R.  Lopez-Negrete,   M.  S.  Diaz,  L.  T.  Biegler,  “A  Simultaneous Dynamic  Optimization Approach  for Natural Gas Processing Plants,” Proceedings  of Foundations of Computer Aided Process Operations (FOCAPO)  (2012)
  319. A. Agarwal and L. T. Biegler, “A Novel Filter  Trust Region Algorithm  For Constrained Optimization using Reduced Order Modeling,” Proceedings  of Foundations of Computer Aided Process Operations (FOCAPO) (2012)
  320. R. Huang,  S. Patwardhan and  L. T. Biegler, “Robust stability of nonlinear  model predictive  control  with extended  Kalman  filter and target setting,” International Journal  of Robust  and Nonlinear  Control,  23, 11, 1240-1264 (2013)
  321. P.  S. Chung,  D. S. So, L. T.  Biegler,  M. S. Jhon,  “Nanotechnology convergence  and  modeling  paradigm of sustainable energy  system  using polymer  electrolyte  membrane  fuel cell as a benchmark example,”  J. Nanoparticle Research  (2012) 14:853
  322. A. W. Dowling, S. R. R. Vetukuri, L. T. Biegler, “Large-scale  Optimization Strategies for Pressure  Swing Adsorption Cycle Synthesis,”  AIChE  Journal,  58, 12, pp.  3777 – 3791 (2012)
  323. X. Yang  and  L. T.  Biegler,  “Advanced-multi-step Nonlinear  Model Predictive Control,” Preprints of the 8th IFAC  Symposium  on Advanced  Control  of Chemical  Processes,  p.  426 (2012)
  324. R.  Huang  and  L. T.  Biegler,  “Economic  NMPC  for energy  intensive  applications with  electricity  price prediction,” Intl.  Symp.  on Process  Systems  Engineering,  Computer Aided Chemical  Engineering,  v.  31, p.  1612, I. Karimi  and R. Srinivasan  (eds.),  Elsevier, Amsterdam, (2012)
  325. L. Zhu, D. Li,Y. Ren, X. Chen, L. T. Biegler, “Aggregate  models based on the wave propagation theory  for high-purity distillation columns,”  Intl.  Symp.  on Process Systems Engineering,  Computer Aided Chemical Engineering,  v. 31, p.  1587, I. Karimi  and R. Srinivasan  (eds.),  Elsevier, Amsterdam, (2012)
  326. K. Wang, Z. Shao, L. T. Biegler, Y. Lang, J. Qian, “Structured regularization in barrier  NLP for optimization  models with  dependent constraints,” Intl.   Symp.  on Process  Systems Engineering,  Computer Aided Chemical  Engineering,  v. 31, p.  1502, I. Karimi  and R. Srinivasan  (eds.),  Elsevier, Amsterdam, (2012)
  327. E. Esche,  H.Arellano-Garcia, G. Wozny,  L.T.  Biegler,  “Optimal Operation of a Membrane  Reactor  Network,”  Intl.   Symp.   on Process  Systems  Engineering,  Computer Aided  Chemical  Engineering,  v.  31, p. 1321, I. Karimi  and R. Srinivasan  (eds.),  Elsevier, Amsterdam, (2012)
  328. S. Huang,  K. Wang,  W.  Chen,  J.  You,  X. Chen,  J.  Qian,  Z. Shao,  L. T.  Biegler  “Simplified  MFE  with power-change  adaption strategy for  the  dynamic  optimization of HTR-PM,” Intl.    Symp.    on  Process Systems  Engineering,  Computer Aided Chemical  Engineering,  v.  31, p.  1301, I. Karimi  and R. Srinivasan (eds.),  Elsevier, Amsterdam, (2012)
  329. L. T. Biegler and  Y-D Lang,  “Multi-scale  Optimization for Advanced  Energy  Processes,”  Intl.  Symp.  on Process  Systems  Engineering,   Computer Aided  Chemical  Engineering,   v.   31, p.   51, I.  Karimi  and  R. Srinivasan  (eds.),  Elsevier, Amsterdam, (2012)
  330. Z. Q.  Chen,  X.  Chen,  Z. J.  Shao,  Z. Yao,  L. T.  Biegler,  “Parallel Calculation Methods  for Molecular Weight Distribution of Batch  Free-radical Polymerization” Computers and Chemical Engineering,  48, 175– 186 (2013)
  331. L. T. Biegler, Y-D Lang and W-J  Lin, “Multi-scale  Optimization for Process Systems Engineering,” Computers  and Chemical  Engineering,  60, 10, 17– 30 (2014)
  332. A. Gopalakrishnan, A. U. Raghunathan, D. Nikovski and  L. T. Biegler, “Global  Optimization of Optimal Power  Flow using a Branch  & Bound  Algorithm,” 50th  Annual  Allerton  Conference  on Communication, Control,  and Computing (2012)
  333. Smith,  R. L., Chung,  P.  S., Vemuri,  S. H., Biegler,  L. T.,  Jhon,  M. S., “Atomistically Tuning  Lubricant Adhesion on Carbon  Overcoat  Surface,”  IEEE  Trans.  Magnetics,  48, 11, 4273-4276 (2012)
  334. Vemuri, S.H., Chung, P.S., Smith, R., Yeom, G.Y,.  Jhon, Y.I., Lee, N.E., Biegler, L.T., Jhon, M.S., “Perfluoropolyether Lubricant Interactions With Novel Overcoat  via Coarse-Grained Molecular Dynamics,” IEEE  Trans.  Magnetics,  48, 11, pp.  4277-4280 (2012)
  335. Lenhart, E.,  Esche,  E.,  Arellano-Garcia, H.,  Biegler,  L. T.,  “Oxidative Coupling  of Methane:   Optimal Operating Policies for a Membrane  Reactor  Network,”  Chemie  Ingenieur  Technik,  84, 11, pp.  1980-1988 (2012)
  336. Chung,  P. S., Smith,  R., Vemuri,  S. H., Jhon,  Y. I., Tak,  K., Moon, I., Biegler, L. T., Jhon,  M. S., “Multi- scale/multi-physical modeling in head/disk interface  of magnetic  data  storage,”  J. Applied Physics,  111, 7, 07B712 (2012)
  337. E. Esche, H. Arellano-Garcia, L. T. Biegler, G. Wozny, “Two-dimensional modeling of a packed-bed  membrane  reactor  for the  oxidative  coupling  of methane,” Chemical  Engineering  Transactions, Vol.   29, pp. 1537-1542 (2012)
  338. K. Wang, Z. Shao, L. T. Biegler, Y. Lang, J. Qian, “Barrier  NLP methods  with structured regularization for optimization of degenerate and  indefinite  problems”  Computers and Chemical  Engineering,  57, pp.  24-29 (2013)
  339. Y. Nie, L. T. Biegler, C. M. Villa and J. Wassick, ”Reactor Modeling and Recipe Optimization of Polyether Polyol Processes:  Polypropylene Glycol,” AIChE  J., 59, 7, 2515–2529 (2013)
  340. X.  Yang,  L.  T.  Biegler,  “Advanced-multi-step nonlinear   model  predictive   control,” Journal  of Process Control,  23, 7, pp.  1001 – 1011 (2013)
  341. Y. Nie, P. Witt, A. Agarwal, and L. T. Biegler, “Optimal Active Catalyst and Inert Distribution in Catalytic Fixed Bed Reactors:  ortho-Xylene  Oxidation,” I & EC Research,  in press (2013)
  342. R.  Amrit,   J.  B.  Rawlings,  L. T.  Biegler,  “Optimizing process  economics  online  using  model  predictive control,”  Computers and Chemical  Engineering,  58, pp.  334-343 (2013)
  343. E. Harinath, L.T.  Biegler, G. A. Dumont, “Predictive optimal  control  for thermo-mechanical pulping  processes with multi-stage low consistency  refining,” Journal  of Process  Control,  23, pp.  1001 – 1011 (2013)
  344. Alexander  W. Dowling, Lorenz  T.  Biegler,  “Optimization-based Process  Synthesis  for Sustainable Power Generation,” Chemical  Engineering  Transactions, 35, 1–12 (2013)
  345. A. Gopalakrishnan, A. U. Raghunathan, D. Nikovski and  L. T.  Biegler,  “Global  Optimization of Multi- period Optimal  Power Flow,” Proceedings  of American  Control  Conference,  Paper  MoB10.6 (2013)
  346. C. Zhang, Z. Zhan, Z. Shao, Y. H. Zhao, X. Chen, X.P. Gu, Z. Yao, Z, L. F. Feng L. T. Biegler, “Equation- Oriented Optimization on an Industrial High-Density  Polyethylene Slurry  Process  with  Target Molecular Weight Distribution,” I& EC Research,  52, 22, pp.  7240-7251 (2013)
  347. B. L. Nicholson, R. Lopez-Negrete,  L. T. Biegler, ”On-line State  Estimation of Nonlinear Dynamic  Systems with Gross Errors,” Computers and Chemical  Engineering,  accepted  for publication (2013)
  348. Biegler, L. T.,  “A Survey  on Sensitivity-based Nonlinear  Model Predictive Control,” Proceedings  of DYCOPS’13, accepted  for publication (2013)
  349. M. D. Hoang, T. Barz, V. Merchan,  L. T. Biegler, H. Arellano-Garcia, “Simultaneous solution  approach to model-based  experimental design,”  AIChE  Journal, 59, 11, pp.  4169 – 4183 (2013)
  350. Y. Nie, L. T.  Biegler,  C.  M. Villa,  and  J.  M. Wassick,  “Reactor Modeling  and  Recipe  Optimization of Ring-Opening  Polymerization: Block Copolymers,”  I & EC Research,  in press (2013)
  351. Kai Zhou, Wei Wan,  Xi Chen, Zhijiang Shao and L. T. Biegler, “Heterogeneous Parallel  Method  for Mixed Integer  Nonlinear  Programming,” Computers & Chemical  Engineering,  accepted  for publication  (2013)