Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems (Communications and Control Engineering)

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

Year: 2007
Tongue: English
Leaves: 237
Edition: 1st Edition.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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