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Titlebook: Cyber-Physical Vehicle Systems; Methodology and Appl Chen Lv,Yang Xing,Dongpu Cao Book 2020 Springer Nature Switzerland AG 2020

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发表于 2025-3-21 19:44:02 | 显示全部楼层 |阅读模式
书目名称Cyber-Physical Vehicle Systems
副标题Methodology and Appl
编辑Chen Lv,Yang Xing,Dongpu Cao
视频videohttp://file.papertrans.cn/242/241823/241823.mp4
丛书名称Synthesis Lectures on Advances in Automotive Technology
图书封面Titlebook: Cyber-Physical Vehicle Systems; Methodology and Appl Chen Lv,Yang Xing,Dongpu Cao Book 2020 Springer Nature Switzerland AG 2020
描述This 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.
出版日期Book 2020
版次1
doihttps://doi.org/10.1007/978-3-031-01504-5
isbn_softcover978-3-031-00376-9
isbn_ebook978-3-031-01504-5Series ISSN 2576-8107 Series E-ISSN 2576-8131
issn_series 2576-8107
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Co-Design Optimization for Cyber-Physical Vehicle System,
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2576-8107 r 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 optimizati
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State Estimation of Cyber-Physical Vehicle Systems,ltidisciplinary interactions, strong uncertainties, and hard nonlinearities make the estimation, control, and optimization of electric vehicles very difficult [52]. Thus, there are still quite a number of fundamental issues and critical challenges varying in their importance from convenience to safety of EV remained open [53–56].
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