Control of linear parameter varying systems with applications

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 t...

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Outros autores: Mohammadpour, Javad, 19..- (Directeur de la publication), Scherer, Carsten (Directeur de la publication)
Formato: Livre numérique
Idioma:Anglais
Publicado: New York, NY : Springer New York : Imprint: Springer [20..].
Cham : Springer Nature
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Accès Université d'Orléans
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Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Control of linear parameter varying systems with applications, Javad Mohammadpour, Carsten W. Scherer, editors, New York, Springer, 2012, 1 volume (xviii-547 pages), 978-1-461-41832-0
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505 1 |a Part I: Introduction to Modeling and Control of LPV Systems An Overview of LPV Systems Prediction Error Identification of LPV Systems: Present and Beyond Part II: Theoretical Advancements on LPV Control and Estimation Parametric Gain-scheduling Control via LPV-stable Realization Explicit Controller Parameterizations for Linear Parameter Varying Affine Systems using Linear Matrix Inequalities A Parameter-dependent Lyapunov Approach for the Control of Nonstationary LPV Systems Generalized Asymptotic Regulation for LPV Systems with Additional Performance Objectives Robust Stabilization and Disturbance Attenuation of Switched Linear Parameter Varying Systems in Discrete Time Gain-scheduled Output Feedback Controllers with Good Implementability and Robustness Decentralized Model Predictive Control of Time-varying Splitting Parallel Systems Robust Estimation with Partial Gain-scheduling through Convex Optimization Delay-dependent Output Feedback Control of Time-delay LPV Systems Part III: Recent Applications of LPV Methods in Control of Complex Systems Structured Linear Parameter Varying Control of Wind Turbines Attitude Regulation for Spacecraft with Magnetic Actuators: an LPV Approach Modeling and Control of LPV Systems: A Vibroacoustic Application LPV Modeling and Control of Semi-active Dampers in Automotive Systems LPV H Control for Flexible Hypersonic Vehicles Identification of Low-complexity LPV Input-output Models for Control of a Turbocharged Combustion Engines Constrained Freeway Traffic Control via Linear Parameter Varying Paradigms Linear Parameter Varying Control for the X-53 Active Aeroelastic Wing Design of Integrated Vehicle Chassis Control Based on LPV Methods 
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520 |a 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 
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