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000778087 24500 $$aRobust control design for active driver assistance systems :$$ba linear-parameter-varying approach /$$cPéter Gáspár, Zoltán Szabó, József Bokor, Balázs Németh.
000778087 260__ $$aCham, Switzerland :$$bSpringer,$$c2016, ©2017.
000778087 300__ $$a1 online resource.
000778087 336__ $$atext$$btxt$$2rdacontent
000778087 337__ $$acomputer$$bc$$2rdamedia
000778087 338__ $$aonline resource$$bcr$$2rdacarrier
000778087 4901_ $$aAdvances in industrial control
000778087 504__ $$aIncludes bibliographical references and index.
000778087 5050_ $$aSeries Editors' Foreword; Contents; Abbreviations; 1 Introduction; Part I Modeling and Control of LPV Systems; 2 Modeling of LPV Systems; 2.1 LPV Model Structures; 2.2 Linearization Through LPV Modeling; 2.2.1 Jacobian Linearization; 2.2.2 Off-Equilibrium Linearization; 2.2.3 Fuzzy Linearization; 2.2.4 qLPV Linearization; 2.2.5 Non-uniqueness of the LPV Models; 2.3 Linearization by LFT Techniques; 2.4 Performance-Driven LPV Modeling; 2.5 LPV Modeling of Two Subsystems; 2.5.1 Modeling of the Vertical Dynamics; 2.5.2 Nonlinear Components of the Vertical Dynamics.
000778087 5058_ $$a2.5.3 LPV Modeling of the Yaw -- Roll Dynamics2.6 Grey-Box Identification and Parameter Estimation; 2.6.1 Observer-Based Identification; 2.6.2 Adaptive Observer-Based Approach; 2.7 Parameter Estimation: Case Studies; 2.7.1 Identification of a Suspension System; 2.7.2 Identification of the Yaw -- Roll System; 2.7.3 Fault Estimation in LPV Systems; 3 Robust Control of LPV Systems; 3.1 The Modeling of Performances; 3.2 The Modeling of Uncertain Components; 3.3 Control Design Based on LPV Methods; 3.3.1 Formulation of a Nonlinear Controller; 3.3.2 Control Design Based on SLF Methods.
000778087 5058_ $$a3.3.3 Polytopic Approach3.3.4 An LFT-Based Design; 3.4 Control Design Based on PDLF Methods; 3.4.1 The Analysis of LPV Systems; 3.4.2 The Control of LPV Systems With Induced mathcalL2-Norm Performance; 3.4.3 Inexact LPV Control Design; Part II Vertical and Longitudinal Control; 4 Suspension Systems in Vertical Dynamics; 4.1 Modeling of Performances in the Vertical Dynamics; 4.1.1 Performance Specifications; 4.1.2 Weighting Functions in the Control Design; 4.2 Modeling of Vertical Dynamics by Using Uncertainties; 4.2.1 Parameter Uncertainties; 4.2.2 Weighting Functions.
000778087 5058_ $$a4.3 Active Suspension Design Based on mathcalHinfty Control4.4 Active Suspension Design Based on LPV Control; 4.5 Design of a Hierarchical Controller for an Active Suspension System; 4.5.1 Modeling of the Actuator Dynamics; 4.5.2 Tracking Control Based on Backstepping Design; 4.5.3 Simulation Examples; 5 Anti-roll Bars for Rollover Prevention; 5.1 Modelling of Performances in the Yaw -- Roll Dynamics; 5.1.1 Rollover Threshold; 5.1.2 Design of Weighting Functions; 5.2 LPV Control Methods for Rollover Prevention Systems; 5.3 Design of a Fault-Tolerant Rollover Prevention System.
000778087 5058_ $$a6 Adaptive Cruise Control in Longitudinal Dynamics6.1 Adaptive Cruise Control; 6.2 Model-Based Robust Control Design; 6.2.1 Modeling Longitudinal Dynamics; 6.2.2 Robust Control Strategy; 6.2.3 Modeling Actuator Dynamics; 6.2.4 Design of Feedback Controller; 6.3 Speed Design Based on Multiobjective Optimization; 6.3.1 Motivation of the Speed Design; 6.3.2 Design of Speed Profile; 6.3.3 Principles of the Optimization of the Look-Ahead Control; 6.4 Optimization of the Vehicle Cruise Control; 6.4.1 Handling the Preceding Vehicle in the Speed Design.
000778087 506__ $$aAccess limited to authorized users.
000778087 520__ $$aThis monograph focuses on control methods that influence vehicle dynamics to assist the driver in enhancing passenger comfort, road holding, efficiency and safety of transport, etc., while maintaining the driver's ability to override that assistance. On individual-vehicle-component level the control problem is formulated and solved by a unified modelling and design method provided by the linear parameter varying (LPV) framework. The global behaviour desired is achieved by a judicious interplay between the individual components, guaranteed by an integrated control mechanism. The integrated control problem is also formalized and solved in the LPV framework. Most important among the ideas expounded in the book are: application of the LPV paradigm in the modelling and control design methodology; application of the robust LPV design as a unified framework for setting control tasks related to active driver assistance; formulation and solution proposals for the integrated vehicle control problem; proposal for a reconfigurable and fault-tolerant control architecture; formulation and solution proposals for the plug-and-play concept; detailed case studies. Robust Control Design for Active Vehicle Assistance Systems will be of interest to academic researchers and graduate students interested in automotive control and to control and mechanical engineers working in the automotive industry. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
000778087 650_0 $$aRobust control.
000778087 650_0 $$aLinear control systems.
000778087 7001_ $$aGáspár, Péter.
000778087 77608 $$iPrint version:$$tRobust control design for active driver assistance systems.$$dCham, Switzerland : Springer, 2016, ©2017$$z3319461249$$z9783319461243$$w(OCoLC)956480194
000778087 830_0 $$aAdvances in industrial control.
000778087 852__ $$bebk
000778087 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-46126-7$$zOnline Access$$91397441.1
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