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008 220601s2020 sz | s |||| 0|eng d
020 _a9783031015045
_9978-3-031-01504-5
024 7 _a10.1007/978-3-031-01504-5
_2doi
050 4 _aTK1-9971
072 7 _aTHR
_2bicssc
072 7 _aTEC007000
_2bisacsh
072 7 _aTHR
_2thema
082 0 4 _a621.3
_223
100 1 _aLv, Chen.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979501
245 1 0 _aCyber-Physical Vehicle Systems
_h[electronic resource] :
_bMethodology and Applications /
_cby Chen Lv, Yang Xing, Junzhi Zhang, Dongpu Cao.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aX, 78 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aElectrical engineering.
_979502
650 0 _aMechanical engineering.
_95856
650 0 _aAutomotive engineering.
_979503
650 0 _aTransportation engineering.
_93560
650 0 _aTraffic engineering.
_915334
650 1 4 _aElectrical and Electronic Engineering.
_979504
650 2 4 _aMechanical Engineering.
_95856
650 2 4 _aAutomotive Engineering.
_979505
650 2 4 _aTransportation Technology and Traffic Engineering.
_932448
700 1 _aXing, Yang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979506
700 1 _aZhang, Junzhi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979507
700 1 _aCao, Dongpu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979508
710 2 _aSpringerLink (Online service)
_979509
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031000096
776 0 8 _iPrinted edition:
_z9783031003769
776 0 8 _iPrinted edition:
_z9783031026324
830 0 _aSynthesis Lectures on Advances in Automotive Technology,
_x2576-8131
_979510
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01504-5
912 _aZDB-2-SXSC
942 _cEBK
999 _c84791
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