Modeling and Identification of Linear Parameter-Varying Systems

Name: Modeling and Identification of Linear Parameter-Varying Systems
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642138119
Price: 650.52 PLN
Availability: InStock

Autor: Roland Toth

Język:

Oprawa: Miękka

Wydawca: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostępność: Dostępna u dostawcy

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This book aims to bridge the gap between modeling and control by investigating the fundamental quest...

Informacje o książce

Autor

Roland Toth

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2010

strony

325

EAN

9783642138119

ISBN

364213811X

Enbook ID

01656080

Wydawca

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Waga

592

Wymiary

155 x 16 x 22

Pełny opis

This book aims to bridge the gap between modeling and control by investigating the fundamental questions of LPV modeling and identification. It explores the missing details of the LPV system theory that have hindered the formulation of a well established identification framework. By proposing an unified LPV system theory that is based on a behavioral approach, the concepts of representations, equivalence transformations, and means to compare model structures are re-established, giving a solid basis for an identification theory. It is also explored when and how first-principle nonlinear models can be efficiently converted to LPV descriptions and what are the pitfalls that must be avoided. Building on well founded system theoretical concepts, the classical LTI prediction-error framework is extended to the LPV case via the use of series-expansion representations.The book is written as a research monograph with a broad scope, trying to cover the key issues from system theory to modeling and identification. It is meant to be interesting for both researchers and engineers but also for graduate students in systems and control who would like to learn about the LPV framework. It also offers an easy to use guide for engineers about the off-shelf solutions in LPV modeling and identification.

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