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Model Reduction Techniques using Interval Analysis and Optimization: with Control System Applications - Softcover
Synopsis
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 methods are described for linear time invariant fixed and interval systems. Second, suppose a reduced order 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 designed from 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.
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About the Author
Dr. Prashant Shingare, PhD: Studied Systems and Control Engineering at IIT Bombay. Senior Manager at Emerson Network Power Pvt Ltd, Pune, India. Dr. Bijnan Bandyopadhyay, PhD: Professor at Systems and Control Engineering, IIT Bombay, Mumbai, India. Prof. H. K. Abhyankar, ME: Director at Vishwakarma Institute of Technology, Pune,India.
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Model Reduction Techniques using Interval Analysis and Optimization
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Model Reduction Techniques using Interval Analysis and Optimization : with Control System Applications
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Taschenbuch. Condition: 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. Seller Inventory # 9783639158793
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Model Reduction Techniques using Interval Analysis and Optimization
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
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Model Reduction Techniques using Interval Analysis and Optimization
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Kartoniert / Broschiert. Condition: 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. Seller Inventory # 4962729
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Model Reduction Techniques using Interval Analysis and Optimization
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
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ISBN 13: 9783639158793
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