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About Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems (Communications and Control Engineering)
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.
Detailed Information
| Author: | Hyo-Sung Ahn, Kevin L. Moore, YangQuan Chen |
|---|---|
| Publication Year: | 2007 |
| ISBN: | 9781846288593 |
| Pages: | 237 |
| Language: | English |
| File Size: | 1.756 |
| Format: | |
| Price: | FREE |
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