Hyo-Sung Ahn

(Author)

Iterative Learning Control: Robustness and Monotonic Convergence for Interval SystemsPaperback, 19 October 2010

Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems
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Part of Series
Communications and Control Engineering
Part of Series
Communications and Control Engineering Communications and Co
Part of Series
Communications and Control Engineering (Paperback)
Print Length
230 pages
Language
English
Publisher
Springer
Date Published
19 Oct 2010
ISBN-10
1849966583
ISBN-13
9781849966580

Description

This monograph studies the design of robust, monotonically convergent iterative learning controllers (ILC) for discrete-time systems. It takes account of the recently developed comprehensive approach to robust ILC analysis and design established to handle the situation where the plant model is uncertain. Considering ILC in the iteration domain, 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. It presents solutions to three fundamental robust interval computational problems (used as basic tools for designing robust ILC controllers): finding the maximum singular value of an interval matrix, determining the robust stability of interval polynomial matrix, and obtaining the power of an interval matrix.

Product Details

Authors:
Hyo-Sung AhnKevin L MooreYangquan Chen
Book Format:
Paperback
Country of Origin:
NL
Date Published:
19 October 2010
Dimensions:
23.39 x 15.6 x 1.35 cm
ISBN-10:
1849966583
ISBN-13:
9781849966580
Language:
English
Location:
London
Pages:
230
Publisher:
Weight:
353.8 gm

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