18-879K/96-841-Silicon Valley Campus - Carnegie Mellon University

18-879K/96-841-Silicon Valley Campus - Carnegie Mellon University

18-879K/96-841 Special Topics in Systems and Control: Adaptive Control and Signal Processing

This course will cover fundamentals of learning and adaption for control system design and signal processing. Both continuous and discrete time systems will be considered. Adaptive control topics include: Lyapunov stability theory, uniform boundedness, system identification techniques, direct and indirect adaptive control strategies, and adaptive inverse control. Adaptive signal processing topics include: learning algorithms for digital filters, self optimization, quadratic performance functions, speed of convergence, and applications.

Credit units: 12

Prerequisites: This course is intended for advanced undergraduate and beginning graduate students. The prerequisites are ordinary differential equations and 18-470 – Fundamentals of Control. It is helpful, but not required, to have taken or to take concurrently: 18-771 - Linear Systems and 18-491 - Digital Signal Processing.

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