Modeling Identification Linear Parameter Varying by Toth Roland (14 results)

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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.

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Paperback. Condition: New. 2010 ed.

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.

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.

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 KG, Sachsenplatz 4-6, 1201 Wien 348 pp. Englisch.