Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems
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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...
Format:Hardcover
Language:English
ISBN:B01J5XPWR8
ISBN13:9781846288463
Release Date:June 2007
Publisher:Springer
Length:230 Pages
Weight:1.19 lbs.
Dimensions:0.7" x 6.6" x 9.4"
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