Control of Linear Parameter Varying Systems with Applications

1. Front Matter

   Pages i-xviii

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2. Introduction to Modeling and Control of LPV Systems

   1. Front Matter

      Pages 1-1

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   2. An Overview of LPV Systems

      • Jeff S. Shamma

      Pages 3-26

   3. Prediction-Error Identification of LPV Systems: Present and Beyond

      • Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof

      Pages 27-58

3. Theoretical Advances in LPV Control and Estimation

   1. Front Matter

      Pages 59-59

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4. Theoretical Advancements on LPV Control and Estimation

   1. Parametric Gain-scheduling Control via LPV-stable Realization

      • Franco Blanchini, Daniele Casagrande, Stefano Miani, Umberto Viaro

      Pages 61-89

   2. Explicit Controller Parametrizations for Linear Parameter-Varying Affine Systems Using Linear Matrix Inequalities

      • Maurício C. de Oliveira

      Pages 91-104

   3. A Parameter-Dependent Lyapunov Approach for the Control of Nonstationary LPV Systems

      • Mazen Farhood

      Pages 105-126

   4. Generalized Asymptotic Regulation for LPV Systems with Additional Performance Objectives

      • Hakan Köroğlu

      Pages 127-156

   5. Robust Stabilization and Disturbance Attenuation of Switched Linear Parameter-Varying Systems in Discrete Time

      • Ji-Woong Lee, Geir E. Dullerud

      Pages 157-179

   6. Gain-Scheduled Output-Feedback Controllers with Good Implementability and Robustness

      • Masayuki Sato, Dimitri Peaucelle

      Pages 181-215

   7. Decentralised Model Predictive Control of Time-Varying Splitting Parallel Systems

      • Tri Tran, H. D. Tuan, Q. P. Ha, Hung T. Nguyen

      Pages 217-251

   8. Robust Estimation with Partial Gain-Scheduling Through Convex Optimization

      • Joost Veenman, Carsten W. Scherer, I. Emre Köse

      Pages 253-278

   9. Delay-Dependent Output Feedback Control of Time-Delay LPV Systems

      • Rohit Zope, Javad Mohammadpour, Karolos Grigoriadis, Matthew Franchek

      Pages 279-299

5. Recent Applications of LPV Methods in the Control of Complex Systems

   1. Front Matter

      Pages 301-301

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6. Recent Applications of LPV Methods in Control of Complex Systems

   1. Structured Linear Parameter Varying Control of Wind Turbines

      • Fabiano Daher Adegas, Christoffer Sloth, Jakob Stoustrup

      Pages 303-337

   2. Attitude Regulation for Spacecraft with Magnetic Actuators: An LPV Approach

      • Andrea Corti, Marco Lovera

      Pages 339-355

   3. Modeling and Control of LPV Systems: A Vibroacoustic Application

      • Jan De Caigny, Juan F. Camino, Ricardo C. L. F. Oliveira, Pedro L. D. Peres, Jan Swevers

      Pages 357-379

   4. LPV Modeling and Control of Semi-active Dampers in Automotive Systems

      • Anh-Lam Do, Olivier Sename, Luc Dugard

      Pages 381-411

   5. LPV H∞ Control for Flexible Hypersonic Vehicle

      • Hunter D. Hughes, Fen Wu

      Pages 413-444

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.

• Control design
• Feedback control
• Linear parameter varying systems
• Modeling and system identification
• Performance analysis

From the reviews:

“The book under review gives a comprehensive account of the current state-of-the-art on this subject. … Due to its structure the book can be very useful to both researchers and practitioners.” (Alfredo Pironti, Mathematical Reviews, March, 2013)

• Dept. Mechanical Engineering, University of Houston, Houston, USA

  Javad Mohammadpour

• , Department of Mathematics, University of Stuttgart, Stuttgart, Germany

  Carsten W. Scherer

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