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Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems (Communications and Control Engineering) book cover by Hyo-Sung Ahn, Kevin L. Moore, YangQuan Chen
Paperback

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

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

$149.59 / copy at 25+ copies As low as $146.19 at 100+Your best volume price

Paperback · 230 pages Springer London · 2010

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About the book

Iterative Learning Control

This monograph studies the design of robust, monotonically-convergent it- ative learning controllers for discrete-time systems. Iterative learning control (ILC) is well-recognized as an e?cient method that o?ers signi?cant p- formance improvement for systems that operate in an iterative or repetitive fashion (e. g. , robot arms in manufacturing or batch processes in an industrial setting). Though the fundamentals of ILC design have been well-addressed in the literature, two key problems have been the subject of continuing - search activity. First, many ILC design strategies assume nominal knowledge of the system to be controlled. Only recently has a comprehensive approach to robust ILC analysis and design been established to handle the situation where the plant model is uncertain. Second, it is well-known that many ILC algorithms do not produce monotonic convergence, though in applications monotonic convergencecan be essential. This monograph addresses these two keyproblems by providingauni?ed analysisanddesignframeworkforrobust, monotonically-convergent ILC. The particular approach used throughout is to consider ILC design in the iteration domain, rather than in the time domain. Using a lifting technique, the two-dimensionalILC system, whichhas dynamics in both the time and - erationdomains,istransformedintoaone-dimensionalsystem,withdynamics only in the iteration domain. The so-called super-vector framework resulting from this transformation is used to analyze both robustness and monotonic convergence for typical uncertainty models, including parametric interval - certainties, frequency-like uncertainty in the iteration domain, and iterati- domain stochastic uncertainty.

The book, Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems (Communications and Control Engineering) [Bulk, Wholesale, Quantity] ISBN#9781849966580 in Paperback by Hyo-Sung Ahn, Kevin L. Moore, YangQuan Chen may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Springer London
Authors
Hyo-Sung Ahn, Kevin L. Moore, YangQuan Chen
Format
Paperback
Published
Oct 19, 2010
ISBN-13
9781849966580
Pages
230
Printing
Printed on demand
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CopiesPrice per copyYou save
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50 – 99 $147.89 13% off list
100+ $146.19 14% off list
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