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Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems [Repost]
![Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems [Repost]](https://pixhost.icu/avaxhome/9c/9c/002f9c9c.jpeg)
Hyo-Sung Ahn, Kevin L. Moore, YangQuan Chen - Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems
Published: 2007-06-26 | ISBN: 1846288460, 1849966583 | PDF | 230 pages | 3 MB
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.