
Modeling and Identification of Linear Parameter-Varying Systems by Roland Toth
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.-
Statistical Physics I
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Hybrid Integrator-Gain Systems
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Matrix-Weighted Graphs
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Distributed Coordination Theory for Robot Teams
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Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
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Constrained Control of Uncertain, Time-Varying, Discrete-Time Systems
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Advances in H∞ Control Theory
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Security and Resilience of Control Systems
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Data-Driven, Nonparametric, Adaptive Control Theory
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Identification for Automotive Systems
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Networked Embedded Sensing and Control
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Optimization and Optimal Control in Automotive Systems
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Optimization Based Clearance of Flight Control Laws
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Fault Detection and Flight Data Measurement
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Analysis and Synthesis of Networked Control Systems
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Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems
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Automotive Model Predictive Control
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Robust Control and Linear Parameter Varying Approaches
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Complexity, Analysis and Control of Singular Biological Systems
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Frequency Domain Criteria for Absolute Stability
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Search and Classification Using Multiple Autonomous Vehicles
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Advances in the Theory of Control, Signals and Systems with Physical Modeling
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Perspectives in Mathematical System Theory, Control, and Signal Processing
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Robot Motion and Control 2011
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Saturated Switching Systems
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Finite-Time Stability and Control
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Robustness in Identification and Control
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Realization Probabilities
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Advances in Filtering and Optimal Stochastic Control
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Robust Stability and Convexity
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Interactive Multi-Objective Programming as a Framework for Computer-Aided Control System Design
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Variational and Hamiltonian Control Systems
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Robot Motion Planning and Control
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Learning Automata and Stochastic Optimization
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Intelligent Control and Automation
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Realization Theory of Continuous-Time Dynamical Systems
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Modeling, Estimation, and Their Applications for Distributed Parameter Systems
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Optimal Feedback Control
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An Expert Systems Approach to Computer-Aided Design of Multivariable Systems
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Distributed Decision Making and Control
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Stochastic Models for Laser Propagation in Atmospheric Turbulence
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New Directions in Nonlinear Observer Design
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Safe Adaptive Control
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Recursive Nonlinear Estimation
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Detection of Abrupt Changes in Signals and Dynamical Systems
From the reviews:
“The book under review is a research monograph which covers the key issues in modern theory of LPVSIt will be of interest for researchers and engineers with a background in systems theory as well as for graduate students in systems and control. … Several numerical examples and figures illustrate the theoretical results. As a whole, this is a well-written book which shall be useful for a wide audience of both researchers and graduate students in linear systems theory.” (M. M. Konstantinov, Mathematical Reviews, Issue 2012 a)
| SKU | Unavailable |
| ISBN 13 | 9783642138119 |
| ISBN 10 | 364213811X |
| Title | Modeling and Identification of Linear Parameter-Varying Systems |
| Author | Roland Toth |
| Series | Lecture Notes In Control And Information Sciences |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2010-06-13 |
| Number of pages | 325 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |












































