| 000 | 04982nam a2200733 i 4500 | ||
|---|---|---|---|
| 001 | 8966744 | ||
| 003 | IEEE | ||
| 005 | 20200413152934.0 | ||
| 006 | m eo d | ||
| 007 | cr cn |||m|||a | ||
| 008 | 200126s2020 paua ob 000 0 eng d | ||
| 020 |
_a9781681737324 _qelectronic |
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| 020 |
_z9781681737331 _qhardcover |
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| 020 |
_z9781681737317 _qpaperback |
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| 024 | 7 |
_a10.2200/S00969ED1V01Y201912AAT010 _2doi |
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| 035 | _a(CaBNVSL)thg00980005 | ||
| 035 | _a(OCoLC)1138074251 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aTL152.8 _b.L833 2020eb |
|
| 082 | 0 | 4 |
_a629.04 _223 |
| 100 | 1 |
_aLv, Chen, _eauthor. |
|
| 245 | 1 | 0 |
_aCyber-physical vehicle systems : _bmethodology and applications / _cChen Lv, Yang Xing, Junzhi Zhang, Dongpu Cao. |
| 264 | 1 |
_a[San Rafael, California] : _bMorgan & Claypool, _c[2020] |
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| 300 |
_a1 PDF (x, 75 pages) : _billustrations (chiefly color). |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 |
_aSynthesis lectures on advances in automotive technology, _x2576-8131 ; _v#10 |
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| 538 | _aMode of access: World Wide Web. | ||
| 538 | _aSystem requirements: Adobe Acrobat Reader. | ||
| 500 | _aPart of: Synthesis digital library of engineering and computer science. | ||
| 504 | _aIncludes bibliographical references (pages 63-72). | ||
| 505 | 0 | _a1. Introductions -- 2. Co-design optimization for cyber-physical vehicle system -- 2.1. Problem formulation -- 2.2. System modeling and validation -- 2.3. Controller design for different driving styles -- 2.4. Driving-style-based performance exploration and parameter optimization -- 2.5. Optimization results and analysis | |
| 505 | 8 | _a3. State estimation of cyber-physical vehicle systems -- 3.1. Multilayer artificial neural networks architecture -- 3.2. Standard backpropagation algorithm -- 3.3. Levenberg-Marquardt backpropagation -- 3.4. Experimental testing and data collection -- 3.5. Experiment results and discussions | |
| 505 | 8 | _a4. Controller design of cyber-physical vehicle systems -- 4.1. Description of the newly proposed BBW system -- 4.2. Control algorithm design for hydraulic pump-based pressure modulation -- 4.3. Control algorithm design for closed-loop pressure-difference-limiting modulation -- 4.4. Hardware-in-the-loop test results -- 5. Conclusions. | |
| 506 | _aAbstract freely available; full-text restricted to subscribers or individual document purchasers. | ||
| 510 | 0 | _aCompendex | |
| 510 | 0 | _aINSPEC | |
| 510 | 0 | _aGoogle scholar | |
| 510 | 0 | _aGoogle book search | |
| 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. | ||
| 530 | _aAlso available in print. | ||
| 588 | _aTitle from PDF title page (viewed on January 26, 2020). | ||
| 650 | 0 |
_aVehicles _xAutomatic control. |
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| 650 | 0 | _aCooperating objects (Computer systems) | |
| 653 | _acyber-physical vehicle systems | ||
| 653 | _aco-design optimization | ||
| 653 | _adynamic modeling | ||
| 653 | _adesign space exploration | ||
| 653 | _aparameter optimization | ||
| 653 | _astate estimation | ||
| 653 | _aneural networks | ||
| 653 | _acontroller synthesis | ||
| 653 | _asimulation validation | ||
| 653 | _aexperimental testing | ||
| 700 | 1 |
_aXing, Yang, _eauthor. |
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| 700 | 1 |
_aZhang, Junzhi _c( Ph.D. in vehicle engineering), _eauthor. |
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| 700 | 1 |
_aCao, Dongpu, _d1978- _eauthor. |
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| 776 | 0 | 8 |
_iPrint version: _z _z9781681737331 _z9781681737317 |
| 830 | 0 | _aSynthesis digital library of engineering and computer science. | |
| 830 | 0 |
_aSynthesis lectures on advances in automotive technology ; _v#10. |
|
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=8966744 |
| 856 | 4 | 0 |
_3Abstract with links to full text _uhttps://doi.org/10.2200/S00969ED1V01Y201912AAT010 |
| 999 |
_c562454 _d562454 |
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