| Description |
1 online resource (x, 75 pages) : illustrations (chiefly color) |
| Series |
Synthesis lectures on advances in automotive technology, 2576-8131 ; #10 |
|
Synthesis lectures on advances in automotive technology ; #10.
|
| Contents |
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 |
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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 |
| Summary |
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 |
| Analysis |
cyber-physical vehicle systems |
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co-design optimization |
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dynamic modeling |
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design space exploration |
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parameter optimization |
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state estimation |
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neural networks |
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controller synthesis |
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simulation validation |
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experimental testing |
| Bibliography |
Includes bibliographical references (pages 63-72) |
| Notes |
Online resource; title from digital title page (viewed on March 13, 2020) |
| Subject |
Vehicles -- Automatic control
|
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Cooperating objects (Computer systems)
|
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Cooperating objects (Computer systems)
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Vehicles -- Automatic control
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| Form |
Electronic book
|
| Author |
Xing, Yang, author
|
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Zhang, Junzhi (Ph.D. in vehicle engineering), author
|
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Cao, Dongpu, 1978- author.
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| ISBN |
9781681737324 |
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1681737329 |
|
9783031015045 |
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3031015045 |
|
