Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems

by Hyo-Sung Ahn, Kevin L. Moore, YangQuan Chen

This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. It presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and iteration-domain stochastic uncertainty. The book shows how to use robust iterative learning control in the face of model uncertainty.

248 pages, Hardcover

First published June 26, 2007

Reviews

[Dr.K]

chen and wen