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Modeling and Identification of Linear Parameter-Varying Systems: 403 (Lecture Notes in Control and Information Sciences, 403) - Softcover
Synopsis
This book explores the missing details of the linear parameter-varying (LPV) system theory that have hindered the formulation of a well established identification framework. It covers the key issues from system theory to modeling and identification.
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Product Description
This book explores the missing details of the linear parameter-varying (LPV) system theory that have hindered the formulation of a well established identification framework. It covers the key issues from system theory to modeling and identification.
Review
From the reviews:
“The book under review is a research monograph which covers the key issues in modern theory of LPVS. It will be of interest for researchers and engineers with a background in systems theory as well as for graduate students in systems and control. ... Several numerical examples and figures illustrate the theoretical results. As a whole, this is a well-written book which shall be useful for a wide audience of both researchers and graduate students in linear systems theory.” (M. M. Konstantinov, Mathematical Reviews, Issue 2012 a)
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Modeling and Identification of Linear Parameter-Varying Systems (Lecture Notes in Control and Information Sciences, 403)
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Toth,R.:Modeling a.Ident.o.Linear Param (eng)
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Modeling and Identification of Linear Parameter-Varying Systems (Lecture Notes in Control and Information Sciences, 403)
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Modeling and Identification of Linear Parameter-Varying Systems (Lecture Notes in Control and Information Sciences, 403)
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Modeling and Identification of Linear Parameter-Varying Systems
Published by
Springer Berlin Heidelberg Jun 2010, 2010
ISBN 10: 364213811X
ISBN 13: 9783642138119
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Through the past 20 years, the framework of Linear Parameter-Varying (LPV) systems has become a promising system theoretical approach to handle the control of mildly nonlinear and especially position dependent systems which are common in mechatronic applications and in the process industry. The birth of this system class was initiated by the need of engineers to achieve better performance for nonlinear and time-varying dynamics, c- mon in many industrial applications, than what the classical framework of Linear Time-Invariant (LTI) control can provide. However, it was also a p- mary goal to preserve simplicity and 're-use' the powerful LTI results by extending them to the LPV case. The progress continued according to this philosophy and LPV control has become a well established eld with many promising applications. Unfortunately, modeling of LPV systems, especially based on measured data (which is called system identi cation) has seen a limited development sincethebirthoftheframework. Currentlythisbottleneck oftheLPVfra- work is halting the transfer of the LPV theory into industrial use. Without good models that ful ll the expectations of the users and without the und- standing how these models correspond to the dynamics of the application, it is di cult to design high performance LPV control solutions. This book aims to bridge the gap between modeling and control by investigating the fundamental questions of LPV modeling and identi cation. It explores the missing details of the LPV system theory that have hindered the formu- tion of a well established identi cation framework. 348 pp. Englisch. Seller Inventory # 9783642138119
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Modeling and Identification of Linear Parameter-Varying Systems
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ISBN 10: 364213811X
ISBN 13: 9783642138119
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the state of the art of Modeling and Identification of Linear Parameter-Varying SystemsWritten by experts in the fieldA new appraoch on Modeling and Identification of Linear Parameter-Varying Systems Through the past 20 yea. Seller Inventory # 5050309
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Modeling and Identification of Linear Parameter-Varying Systems
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Taschenbuch. Condition: Neu. Modeling and Identification of Linear Parameter-Varying Systems | Roland Toth | Taschenbuch | 325 S. | Englisch | 2010 | Springer Spektrum | EAN 9783642138119 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 101097244
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Modeling and Identification of Linear Parameter-Varying Systems
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Jun 2010, 2010
ISBN 10: 364213811X
ISBN 13: 9783642138119
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Through the past 20 years, the framework of Linear Parameter-Varying (LPV) systems has become a promising system theoretical approach to handle the control of mildly nonlinear and especially position dependent systems which are common in mechatronic applications and in the process industry. The birth of this system class was initiated by the need of engineers to achieve better performance for nonlinear and time-varying dynamics, c- mon in many industrial applications, than what the classical framework of Linear Time-Invariant (LTI) control can provide. However, it was also a p- mary goal to preserve simplicity and ¿re-use¿ the powerful LTI results by extending them to the LPV case. The progress continued according to this philosophy and LPV control has become a well established eld with many promising applications. Unfortunately, modeling of LPV systems, especially based on measured data (which is called system identi cation) has seen a limited development sincethebirthoftheframework.Currentlythisbottleneck oftheLPVfra- work is halting the transfer of the LPV theory into industrial use. Without good models that ful ll the expectations of the users and without the und- standing how these models correspond to the dynamics of the application, it is di cult to design high performance LPV control solutions. This book aims to bridge the gap between modeling and control by investigating the fundamental questions of LPV modeling and identi cation. It explores the missing details of the LPV system theory that have hindered the formu- tion of a well established identi cation framework.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch. Seller Inventory # 9783642138119
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Modeling and Identification of Linear Parameter-Varying Systems
Published by
Springer Berlin Heidelberg, 2010
ISBN 10: 364213811X
ISBN 13: 9783642138119
New
Taschenbuch
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Through the past 20 years, the framework of Linear Parameter-Varying (LPV) systems has become a promising system theoretical approach to handle the control of mildly nonlinear and especially position dependent systems which are common in mechatronic applications and in the process industry. The birth of this system class was initiated by the need of engineers to achieve better performance for nonlinear and time-varying dynamics, c- mon in many industrial applications, than what the classical framework of Linear Time-Invariant (LTI) control can provide. However, it was also a p- mary goal to preserve simplicity and 're-use' the powerful LTI results by extending them to the LPV case. The progress continued according to this philosophy and LPV control has become a well established eld with many promising applications. Unfortunately, modeling of LPV systems, especially based on measured data (which is called system identi cation) has seen a limited development sincethebirthoftheframework.Currentlythisbottleneck oftheLPVfra- work is halting the transfer of the LPV theory into industrial use. Without good models that ful ll the expectations of the users and without the und- standing how these models correspond to the dynamics of the application, it is di cult to design high performance LPV control solutions. This book aims to bridge the gap between modeling and control by investigating the fundamental questions of LPV modeling and identi cation. It explores the missing details of the LPV system theory that have hindered the formu- tion of a well established identi cation framework. Seller Inventory # 9783642138119
Quantity: 1 available
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Modeling and Identification of Linear Parameter-Varying Systems
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Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2010
ISBN 10: 364213811X
ISBN 13: 9783642138119
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Paperback. Condition: New. 2010 ed. Through the past 20 years, the framework of Linear Parameter-Varying (LPV) systems has become a promising system theoretical approach to handle the control of mildly nonlinear and especially position dependent systems which are common in mechatronic applications and in the process industry. The birth of this system class was initiated by the need of engineers to achieve better performance for nonlinear and time-varying dynamics, c- mon in many industrial applications, than what the classical framework of Linear Time-Invariant (LTI) control can provide. However, it was also a p- mary goal to preserve simplicity and "re-use" the powerful LTI results by extending them to the LPV case. The progress continued according to this philosophy and LPV control has become a well established ?eld with many promising applications. Unfortunately, modeling of LPV systems, especially based on measured data (which is called system identi?cation) has seen a limited development sincethebirthoftheframework.Currentlythisbottleneck oftheLPVfra- work is halting the transfer of the LPV theory into industrial use. Without good models that ful?ll the expectations of the users and without the und- standing how these models correspond to the dynamics of the application, it is di?cult to design high performance LPV control solutions. This book aims to bridge the gap between modeling and control by investigating the fundamental questions of LPV modeling and identi?cation. It explores the missing details of the LPV system theory that have hindered the formu- tion of a well established identi?cation framework. Seller Inventory # LU-9783642138119
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