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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering

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Iterative Learning Control - Robustness and Monotonic Convergence for Interval Systems (Hardcover, 2007 ed.) Loot Price: R4,376
Discovery Miles 43 760
Iterative Learning Control - Robustness and Monotonic Convergence for Interval Systems (Hardcover, 2007 ed.): Hyo-Sung Ahn,...

Iterative Learning Control - Robustness and Monotonic Convergence for Interval Systems (Hardcover, 2007 ed.)

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

Series: Communications and Control Engineering

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Loot Price R4,376 Discovery Miles 43 760 | Repayment Terms: R410 pm x 12*

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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 iterative learning control in the face of model uncertainty.

General

Imprint: Springer London
Country of origin: United Kingdom
Series: Communications and Control Engineering
Release date: June 2007
First published: 2007
Authors: Hyo-Sung Ahn • Kevin L. Moore • Yangquan Chen
Dimensions: 235 x 155 x 18mm (L x W x T)
Format: Hardcover
Pages: 230
Edition: 2007 ed.
ISBN-13: 978-1-84628-846-3
Categories: Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 1-84628-846-0
Barcode: 9781846288463

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