Cyber-Physical Vehicle Systems : Methodology and Applications / by Chen Lv, Yang Xing, Junzhi Zhang, Dongpu Cao
By: Lv, Chen, autor
Contributor(s): Xing, Yang, autor
| Zhang, Junzhi, autor
| Cao, Dongpu, autor
Material type:
E-bookSeries: (Synthesis Lectures on Advances in Automotive Technology, 2576-8131).Publisher: Cham : Springer International Publishing, 2020Edition: 1st edition 2020.Description: 1 recurso en línea (X, 78 páginas).ISBN: 9783031015045.Subject: Automóviles -- Control automático
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TL152.8 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.01112227 |
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| TL152.8 2020 EB Road Vehicle Automation 7 | TL152.8 2020 EB Automotive Cyber Security : Introduction, Challenges, and Standardization | TL152.8 2020 EB Decision Making, Planning, and Control Strategies for Intelligent Vehicles | TL152.8 2020 EB Cyber-Physical Vehicle Systems : Methodology and Applications | TL152.8 2020 EB Creating Autonomous Vehicle Systems | TL152.8 2021 EB Computing Systems for Autonomous Driving | TL152.8 2021 EB Deep Learning for Unmanned Systems |
Preface -- 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 .
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.
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