(Also available via video. Contact Laura Gann at laugann@okstate.edu)
Instructor: Martin Hagan
Office: 311 E.S. Phone: (405) 744-7340
Email: mhagan@okstate.edu
Stable Adaptive Control and Estimation for Nonlinear Systems
Authors: Spooner, et al,
Publisher: Wiley, 2002
This course is concerned with the theory and design of stable adaptive controllers for nonlinear systems. Adaptive means that the system in question is changing with time in some unpredictable fashion, and that the controller must identify the change and adapt to it, in order to maintain a desired level of performance. We will concentrate on the types of controllers that use black box function approximator techniques (such as neural networks) to implement the controllers.
The course grade will be based on homework assignments (some of which you will present and discuss in class) and a term project.
Familiarity with state variable models and other standard techniques for linear systems.