Modeling and Identification of Linear Parameter-Varying Systems
Through the past 20 years, the framework of Linear Parameter-Varying (LPV) systems has become a promising system theoretical approach to h- dle the controlof mildly nonlinear and especially position dependent systems which are common in mechatronic applications and in the process ind- try. The birth...
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| Format: | Livre numérique |
| Sprog: | Anglais |
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Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Serier: | Lecture Notes in Control and Information Sciences
403 |
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| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
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| Edition sous un autre format: | • Modeling and identification of linear parameter-varying systems, Roland Tóth, Berlin, Springer, 2010, 1 volume (xxiv-319 pages), Lecture notes in control and information sciences, 978-3-642-13811-9 |
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| 100 | 1 | |a Tóth, Roland, |d 19..-...., |c mathématicien. | |
| 245 | 1 | 0 | |a Modeling and Identification of Linear Parameter-Varying Systems |c by Roland Tóth. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture Notes in Control and Information Sciences |v 403 |x 0170-8643 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a LTI System Identification and the Role of OBFs LPV Systems and Representations LPV Equivalence Transformations LPV Series-Expansion Representations Discretization of LPV Systems LPV Modeling of Physical Systems Optimal Selection of OBFs LPV Identification via OBFs | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Through the past 20 years, the framework of Linear Parameter-Varying (LPV) systems has become a promising system theoretical approach to h- dle the controlof mildly nonlinear and especially position dependent systems which are common in mechatronic applications and in the process ind- try. 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 | ||
| 650 | |a Systèmes linéaires | ||
| 650 | |a Systèmes non linéaires | ||
| 650 | |a Commande automatique | ||
| 650 | |a Théorie de la commande | ||
| 650 | |a Ingénierie | ||
| 776 | 0 | |0 14577466X |t Modeling and identification of linear parameter-varying systems |f Roland Tóth |c Berlin |n Springer |d 2010 |p 1 volume (xxiv-319 pages) |s Lecture notes in control and information sciences |z 978-3-642-13811-9 | |
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| 997 | |0 943280 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||