Stochastic Switching Systems: Analysis and Design

Author:   El-Kébir Boukas
Publisher:   Birkhauser Boston Inc
Edition:   2006 ed.
ISBN:  

9780817637828


Pages:   406
Publication Date:   20 October 2005
Format:   Hardback
Availability:   Out of print, replaced by POD   Availability explained
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Stochastic Switching Systems: Analysis and Design


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Author:   El-Kébir Boukas
Publisher:   Birkhauser Boston Inc
Imprint:   Birkhauser Boston Inc
Edition:   2006 ed.
Dimensions:   Width: 15.50cm , Height: 2.30cm , Length: 23.50cm
Weight:   1.670kg
ISBN:  

9780817637828


ISBN 10:   0817637826
Pages:   406
Publication Date:   20 October 2005
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

Table of Contents

Stability Problem.- Stabilization Problem.- ?? Control Problem.- Filtering Problem.- Singular Stochastic Switching Systems.

Reviews

From the reviews: <p> The text contains a large number of simple examples. The appendix collects together results from linear systems theory and probability, which may be helpful in understanding the material. The bibliography...is accurate and up-to-date. The treatment of robust stability and stabilization is carried out in parallel with the corresponding results for nominal systems models; this feature will be particularly useful to practicing engineers. Also, almost all of the results are expressed in terms of LMIs and/or their solutions; this is a unifying characteristic and is indeed advantageous on account of readily available complete catalog of the results in the area of MLSs; practicing engineers, in particular, will find it useful. a Mathematical Reviews <p> Boukas defines a stochastic switching system as a linear control problem with dynamics partially determined by a finite-state Markov process. a ] the book may appeal to experts in control theory who already have intuition about linear control systems and may understand the results without needing to peruse the derivations. (Peter C. Kiessler, Journal of the American Statistical Association, Vol. 103 (481), 2008)


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