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.

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.