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Cyber-Physical Vehicle Systems [electronic resource] : Methodology and Applications / by Chen Lv, Yang Xing, Junzhi Zhang, Dongpu Cao.

By: Lv, Chen [author.].
Contributor(s): Xing, Yang [author.] | Zhang, Junzhi [author.] | Cao, Dongpu [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Synthesis Lectures on Advances in Automotive Technology: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: X, 78 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031015045.Subject(s): Electrical engineering | Mechanical engineering | Automotive engineering | Transportation engineering | Traffic engineering | Electrical and Electronic Engineering | Mechanical Engineering | Automotive Engineering | Transportation Technology and Traffic EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.3 Online resources: Click here to access online
Contents:
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 .
In: Springer Nature eBookSummary: 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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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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