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007			cr nn 008mamaa
008			230204s2020 sz | s |||| 0|eng d
020			_a9783031015045
024	7		_a10.1007/978-3-031-01504-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTL152.8 _b2020 EB
100	1		_aLv, Chen _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685380
245	1	0	_aCyber-Physical Vehicle Systems : _bMethodology and Applications _cby Chen Lv, Yang Xing, Junzhi Zhang, Dongpu Cao
250			_a1st edition 2020
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (X, 78 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Advances in Automotive Technology _x2576-8131
505	0		_aPreface -- Introductions -- Co-Design Optimization for Cyber-Physical Vehicle System -- State Estimation of Cyber-Physical Vehicle Systems -- Controller Design of Cyber-Physical Vehicle Systems -- Conclusions -- References -- Authors' Biographies .
520			_aThis book studies the design optimization, state estimation, and advanced control methods for cyber-physical vehicle systems (CPVS) and their applications in real-world automotive systems. First, in Chapter 1, key challenges and state-of-the-art of vehicle design and control in the context of cyber-physical systems are introduced. In Chapter 2, a cyber-physical system (CPS) based framework is proposed for high-level co-design optimization of the plant and controller parameters for CPVS, in view of vehicle's dynamic performance, drivability, and energy along with different driving styles. System description, requirements, constraints, optimization objectives, and methodology are investigated. In Chapter 3, an Artificial-Neural-Network-based estimation method is studied for accurate state estimation of CPVS. In Chapter 4, a high-precision controller is designed for a safety-critical CPVS. The detailed control synthesis and experimental validation are presented. The application results presented throughout the book validate the feasibility and effectiveness of the proposed theoretical methods of design, estimation, control, and optimization for cyber-physical vehicle systems.
988			_aSynthesis Collection of Technology_2020
650		7	_2embne _9673285 _aAutomóviles _xControl automático
700	1		_aXing, Yang _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686543
700	1		_aZhang, Junzhi _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686544
700	1		_aCao, Dongpu _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686545
776	0	8	_iPrinted edition: _z9783031000096
776	0	8	_iPrinted edition: _z9783031003769
776	0	8	_iPrinted edition: _z9783031026324
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01504-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eIG _zSI