Robust Adaptive Control

The ultimate goal in control theory is to design control laws that achieve good performance for any member of a specific class of systems. Performance mainly either shows the ultimate behavior of a system (asymptotic) or monitors its behavior in time (transient). Analytical quantification and systematic improvement of transient performance are open problems in adaptive control. In this book, we will develop a theoretically tractable quantitative cost based approach to assess relative benefits of different robust adaptive controllers. We develop a comparative theory based on a nonsingular cost functional penalizing both state and control effort. Two rigorous results are presented demonstrating situations in which one controller is superior to the other and vice versa.

Autorentext

Ahmad holds a BSc in Electronics, MSc in Computer science and PhD in Control theory. He is a consultant to a private firm and his current interests are in Financial Mathematics and Computation. He lives in Southampton, U.K.