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A Course in Robust Control Theory: A Convex Approach - Texts in Applied Mathematics 36 (Hardback)
  • A Course in Robust Control Theory: A Convex Approach - Texts in Applied Mathematics 36 (Hardback)
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A Course in Robust Control Theory: A Convex Approach - Texts in Applied Mathematics 36 (Hardback)

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£69.99
Hardback 419 Pages / Published: 02/02/2005
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During the 90s robust control theory has seen major advances and achieved a new maturity, centered around the notion of convexity. The goal of this book is to give a graduate-level course on this theory that emphasizes these new developments, but at the same time conveys the main principles and ubiquitous tools at the heart of the subject. Its pedagogical objectives are to introduce a coherent and unified framework for studying the theory, to provide students with the control-theoretic background required to read and contribute to the research literature, and to present the main ideas and demonstrations of the major results. The book will be of value to mathematical researchers and computer scientists, graduate students planning to do research in the area, and engineering practitioners requiring advanced control techniques.

Publisher: Springer-Verlag New York Inc.
ISBN: 9780387989457
Number of pages: 419
Weight: 1760 g
Dimensions: 235 x 155 x 25 mm
Edition: 1st ed. 2000. Corr. 2nd printing 2005


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From the reviews
"Because progress in LMI robust control theory has been explosive, only books published in the past 3 or 4 years can hope to adequatetely document the phenomenon. The textbook of Dullerud and Paganini rises admirably to the challenge, starting from the basics of linear algebra and system theory and leading the reader through the key 1990s breakthroughs in LMI robust control theory. To keep things simple, the authors relegate the issue of robustness against nonlinear uncertainties to the citations, focusing attention squarely on the linear case. (...)
The book would make an excellent text for a two-semester or two-quarter course for first year graduate students beginning with no prior knowledge of state-space methods. Alternatively, for control students who already have a state-space background."
IEEE Transactions on Automatics Control, Vol. 46, No. 9, September 2001

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