Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shingare PrashantDr. Prashant Shingare, PhD: Studied Systems and Control nEngineering nat IIT Bombay. Senior Manager at Emerson Network Power Pvt Ltd, nPune, India.nDr. Bijnan Bandyopadhyay, PhD: Professor at Systems and nControl Eng. N� de r�f. du vendeur 4962729

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Model Reduction Techniques using Interval Analysis and Optimization: with Control System Applications

Shingare, Prashant

Edit� par VDM Verlag, 2009

ISBN 10 : 3639158792 ISBN 13 : 9783639158793

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Etat : New. In. N� de r�f. du vendeur ria9783639158793_new

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Model Reduction Techniques using Interval Analysis and Optimization with Control System Applications

Shingare, Prashant

Edit� par VDM Verlag, 2009

ISBN 10 : 3639158792 ISBN 13 : 9783639158793

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PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N� de r�f. du vendeur L0-9783639158793

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Model Reduction Techniques using Interval Analysis and Optimization with Control System Applications

Shingare, Prashant

Edit� par VDM Verlag, 2009

ISBN 10 : 3639158792 ISBN 13 : 9783639158793

Neuf PAP

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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N� de r�f. du vendeur L0-9783639158793

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Model Reduction Techniques using Interval Analysis and Optimization : with Control System Applications

Prashant Shingare

Edit� par VDM Verlag Dr. M�ller, 2009

ISBN 10 : 3639158792 ISBN 13 : 9783639158793

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Existing model reduction techniques for lower order controller design have certain limitations in terms of their applicability, reliability and accuracy. The main objective of this book is to present new tools that overcome these limitations for a large class of linear time invariant fixed and interval systems. This book presents two fold contributions for control system design problem. First, the improved model order reduction methodsare described for linear time invariant fixed and interval systems. Second, suppose a reducedorder controller is designed from the reduced order model for the original higher order system, it does not guarantee the stability of the resulting closed loop system. Thus, the problem of stabilization of the original system when controller is designedfrom the reduced order model is addressed using the theory of passivity. Theoretical results concerning key properties of the described techniques such as stability, accuracy are derived. The proposed methods are demonstrated on several difficult examples, including those that can not be readily solved by the existing techniques. N� de r�f. du vendeur 9783639158793

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