Cyber-physical vehicle systems : : methodology and applications /
By: Lv, Chen [author.].
Contributor(s): Xing, Yang [author.] | Zhang, Junzhi ( Ph.D. in vehicle engineering) [author.] | Cao, Dongpu [author.].
Material type:
BookSeries: Synthesis digital library of engineering and computer science: ; Synthesis lectures on advances in automotive technology: #10.Publisher: [San Rafael, California] : Morgan & Claypool, [2020]Description: 1 PDF (x, 75 pages) : illustrations (chiefly color).Content type: text Media type: electronic Carrier type: online resourceISBN: 9781681737324.Subject(s): Vehicles -- Automatic control | Cooperating objects (Computer systems) | cyber-physical vehicle systems | co-design optimization | dynamic modeling | design space exploration | parameter optimization | state estimation | neural networks | controller synthesis | simulation validation | experimental testingDDC classification: 629.04 Online resources: Abstract with links to resource | Abstract with links to full text Also available in print.| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
E books
|
PK Kelkar Library, IIT Kanpur | Available | EBKE954 |
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Part of: Synthesis digital library of engineering and computer science.
Includes bibliographical references (pages 63-72).
1. 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
3. 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
4. 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.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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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.
Also available in print.
Title from PDF title page (viewed on January 26, 2020).
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