Control of Linear Parameter Varying Systems with Applications

Carsten W. Scherer

ISBN 10: 1489999795 / ISBN 13: 9781489999795

Published by Springer New York, Springer New York Apr 2014, 2014

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Control of Linear Parameter Varying Systems compiles state-of-the-art contributions on novel analytical and computational methods for addressing system identification, model reduction, performance analysis and feedback control design and addresses address theoretical developments, novel computational approaches and illustrative applications to various fields. Part I discusses modeling and system identification of linear parameter varying systems, Part II covers the importance of analysis and control design when working with linear parameter varying systems (LPVS) , Finally, Part III presents an applications based approach to linear parameter varying systems, including modeling of a turbocharged diesel engines, Multivariable control of wind turbines, modeling and control of aircraft engines, control of an autonomous underwater vehicles and analysis and synthesis of re-entry vehicles.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 568 pp. Englisch.

Seller Inventory # 9781489999795

Bibliographic Details

• Title: Control of Linear Parameter Varying Systems with Applications
• Publisher: Springer New York, Springer New York Apr 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 1489999795
• ISBN 13: 9781489999795
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 31D millimeters 235 millimeters width by 155 millimeters height by 31 millimeters depth
• Weight: 850 grams

About this title

Synopsis

Control of Linear Parameter Varying Systems compiles state-of-the-art contributions on novel analytical and computational methods for addressing system identification, model reduction, performance analysis and feedback control design and addresses address theoretical developments, novel computational approaches and illustrative applications to various fields. Part I discusses modeling and system identification of linear parameter varying systems, Part II covers the importance of analysis and control design when working with linear parameter varying systems (LPVS) , Finally, Part III presents an applications based approach to linear parameter varying systems, including modeling of a turbocharged diesel engines, Multivariable control of wind turbines, modeling and control of aircraft engines, control of an autonomous underwater vehicles and analysis and synthesis of re-entry vehicles.

From the Back Cover

Control of Linear Parameter Varying Systems with Applications compiles state-of-the-art contributions on novel analytical and computational methods to address system modeling and identification, complexity reduction, performance analysis and control design for time-varying and nonlinear systems in the LPV framework. The book has an interdisciplinary character by emphasizing techniques that can be commonly applied in various engineering fields. It also includes a rich collection of illustrative applications in diverse domains to substantiate the effectiveness of the design methodologies and provide pointers to open research directions. The book is divided into three parts. The first part collects chapters of a more tutorial character on the background of LPV systems modeling and control. The second part gathers chapters devoted to the theoretical advancement of LPV analysis and synthesis methods to cope with the design constraints such as uncertainties and time delay. The third part of the volume showcases concrete applications of LPV modeling and control techniques in a wide range of technological areas including automotive engines and vehicles control, wind energy conversion systems, micro-satellites, vibroacoustic systems, aircraft technology, and freeway traffic control.

Controlof Linear Parameter Varying Systems with Applications is an ideal monograph for researchers, graduate students, and practicing engineers specializing in systems theory, optimization and controls, and complex engineered systems.