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008			161125t20162017sz ob 001 0 eng d
020			_a3319461265 _q(electronic bk.)
020			_a9783319461267 _q(electronic bk.)
020			_z3319461249
020			_z9783319461243
035			_a(OCoLC)964337015 _z(OCoLC)963931997 _z(OCoLC)970022929
040			_aYDX _cYDX _dN$T _dIDEBK _dEBLCP _dGW5XE _dOCLCQ _dOCLCF _dN$T _dAZU _dMERUC _dUAB _dIOG _dMERER _dESU _dOCLCQ _dCOO _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aTJ217.2 _bR638 2016 EB
245	0	0	_aRobust control design for active driver assistance systems : _ba linear-parameter-varying approach _cPéter Gáspár, Zoltán Szabó, József Bokor, Balázs Németh.
264		1	_aCham, Switzerland _bSpringer
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aAdvances in industrial control
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas e índice
505	0		_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.
505	8		_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.
505	8		_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.
505	8		_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.
505	8		_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.
520	3		_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.
650		7	_aSistemas de control lineal _2embne _0(OCoLC)fst00999065 _0 _9157602
700	1		_aGáspár, Péter. _9670983
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-46126-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017A
998			_b02/2018 _dz _e- _zSI
999			_c94913 _d94913 _x1