Robust Stabilization Against Structured Perturbations

This book is a research monograph describing results obtained by the author and his co-workers of the last two years. It deals with the feedback stabilization of linear time invariant systems containing a real parameter vector subject to perturbation. The results described include methods for design...

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Bibliographic Details
Main Author: Bhattacharyya, Shankar P.
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1987, 1987
Edition:1st ed. 1987
Series:Lecture Notes in Control and Information Sciences
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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245 0 0 |a Robust Stabilization Against Structured Perturbations  |h Elektronische Ressource  |c by Shankar P. Bhattacharyya 
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505 0 |a Background and preliminaries -- The stability hypersphere in parameter space -- Stability ellipsoids and perturbation polytopes -- Robust stabilization: The general case -- Structured perturbations in state space models -- Stabilization with fixed order controllers -- State space design of low order regulators -- Summary and future research 
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653 |a Control theory 
653 |a Systems Theory, Control 
653 |a System theory 
653 |a Control engineering 
653 |a Robotics 
653 |a Mathematical optimization 
653 |a Automation 
653 |a Calculus of variations 
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490 0 |a Lecture Notes in Control and Information Sciences 
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520 |a This book is a research monograph describing results obtained by the author and his co-workers of the last two years. It deals with the feedback stabilization of linear time invariant systems containing a real parameter vector subject to perturbation. The results described include methods for designing low order regulators for the nominal plant, the calculation of stability regions and stability margins in the parameter space, and procedures to design stabilizing controllers that tolerate prescribed ranges of parameter perturbations. Each of these problems is treated in the transfer function and state space domains. Results are presented at the theoretical level and at the algorithmic computational level. The purpose of this monograph is to present - at an elementary level - some promising preliminary results and to draw the attention of researchers to this class of problems. The book is intended for control theorists, applied mathematicians and engineers involved in control systems research and development