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

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




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 | #4640225 in Books |  Springer |  2007-07-12 | Original language:English | PDF # 1 |  9.38 x.71 x6.64l,1.19 | File type: PDF | 230 pages

 | ISBN13: 9781846288463 | Condition: New | Notes: 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!

||From the Back Cover||This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. Two key problems with the fundamentals of iterative learning control (ILC) design as treated by existing work are

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 c...

You can specify the type of files you want, for your gadget.Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems (Communications and Control Engineering)   |  Hyo-Sung Ahn, Kevin L. Moore, YangQuan Chen. A good, fresh read, highly recommended.

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