Vehicular Platoon System Design
Fundamentals and Robustness
- 1st Edition - August 13, 2024
- Imprint: Elsevier
- Authors: Hui Zhang, Zhiyang Ju, Jicheng Chen, Qianyue Luo
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 9 8 5 7 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 9 8 5 8 - 5
Vehicular Platoon System Design: Fundamentals and Robustness provides a comprehensive introduction to connected and automated vehicular platoon system design. Platoons decrea… Read more
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Request a sales quoteVehicular Platoon System Design: Fundamentals and Robustness provides a comprehensive introduction to connected and automated vehicular platoon system design. Platoons decrease the distances between cars or trucks using electronic, and possibly mechanical, coupling. This capability allows many cars or trucks to accelerate or brake simultaneously. It also allows for a closer headway between vehicles by eliminating reacting distance needed for human reaction. The book considers the key issues of robustness and cybersecurity, with optimization-based model predictive control schemes applied to control vehicle platoon.
In the controller design part, several practical problems, such as constraint handling, optimal control performance, robustness against disturbance, and resilience against cyberattacks are reviewed. In addition, the book provides detailed theoretical analysis of the stability of the platoon under different control schemes.
In the controller design part, several practical problems, such as constraint handling, optimal control performance, robustness against disturbance, and resilience against cyberattacks are reviewed. In addition, the book provides detailed theoretical analysis of the stability of the platoon under different control schemes.
- Provides a comprehensive introduction to the state-of-the-art development of connected and automated vehicular platoon systems
- Covers the advanced, robust and stochastic model predictive control algorithm design methods for constraint handling and robustness improvement
- Introduces rigorous theoretical stability analysis from the robust tube-based distributedMPC (Model Predictive Control) and stochastic tube-based distributed MPC perspectives
- Offers various filter-based inter-vehicle attack detection methods and event-based resilient vehicle platoon control design methods
Researchers, vehicle engineers, postdoctoral fellows, research scholars, graduates and post-graduate students in automotive engineering
- Cover image
- Title page
- Table of Contents
- Copyright
- List of figures
- List of tables
- Biography
- Hui Zhang
- Zhiyang Ju
- Jicheng Chen
- Qianyue Luo
- Preface
- Part 1: Vehicular platoon system design: fundamentals and robustness
- Chapter 1: Introduction
- Abstract
- Acknowledgements
- 1.1. Introduction
- 1.2. Preliminaries to attack detection and resilience for CAVs
- 1.3. Intra-vehicle network attack detection and resilience
- 1.4. Sensor attack detection and resilience
- 1.5. Inter-vehicle network attack detection and resilience
- 1.6. Summary and future perspectives
- References
- Chapter 2: Robust tube-based DMPC platoon control design
- Abstract
- Acknowledgements
- 2.1. Introduction
- 2.2. Modeling and preliminary
- 2.3. Control problem formulation
- 2.4. Integrated control design procedure
- 2.5. Simulation and comparison results
- 2.6. Conclusions
- References
- Chapter 3: Stochastic DMPC platoon control design
- Abstract
- Acknowledgements
- 3.1. Introduction
- 3.2. Problem formulation
- 3.3. Tractable DMPC formulation
- 3.4. Recursive feasibility of the candidate solution
- 3.5. Asymptotic performance of the stochastic DMPC scheme
- 3.6. Simulations
- 3.7. Conclusions
- References
- Chapter 4: Asynchronous self-triggered stochastic DMPC platoon control design
- Abstract
- Acknowledgements
- 4.1. Introduction
- 4.2. Problem setup
- 4.3. Cost function and probabilistic constraints handling
- 4.4. Stochastic self-triggered DMPC scheme
- 4.5. Numerical examples
- 4.6. Conclusions
- References
- Part 2: Advanced vehicular platoon system design: security, resilience and event-triggered sampling
- Chapter 5: Attack detection using a UFIR estimator
- Abstract
- Acknowledgements
- 5.1. Introduction
- 5.2. Problem formulation
- 5.3. Failure of attack estimation using canonical FIR unknown input estimation
- 5.4. Modified UFIR estimator for attack detection and estimation
- 5.5. Attack detection and estimation
- 5.6. Simulation results
- 5.7. Conclusion
- References
- Chapter 6: Distributed deception attack detection
- Abstract
- Acknowledgements
- 6.1. Introduction
- 6.2. Problem formulation
- 6.3. Attack detection and estimation
- 6.4. Simulation results and comparison
- 6.5. Conclusions
- References
- Chapter 7: Attack detection using moving horizon estimation
- Abstract
- Acknowledgements
- 7.1. Introduction
- 7.2. Problem formulation
- 7.3. Main results
- 7.4. Simulation examples
- 7.5. Conclusions
- References
- Chapter 8: Event-triggered resilient platoon control
- Abstract
- Acknowledgements
- 8.1. Introduction
- 8.2. Problem formulation
- 8.3. Distributed event-triggered secure MPC against DoS attacks
- 8.4. Closed-loop properties of the DMPC algorithm
- 8.5. Numerical example
- 8.6. Conclusion and future work
- References
- Index
- Edition: 1
- Published: August 13, 2024
- No. of pages (Paperback): 314
- No. of pages (eBook): 300
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780443298578
- eBook ISBN: 9780443298585
HZ
Hui Zhang
Professor Zhang received his PhD degree in Mechanical Engineering from the University of Victoria, Canada and undertook three years of postdoctoral work at The Ohio State University, USA. He has published more than 70 peer-reviewed journal papers. Moreover, he has successfully organized 5 special issues for Mechanical Systems and Signal
Processing, Journal of The Franklin Institute, International Journal of Vehicle Design, IEEE Access, and Mechatronics.
Affiliations and expertise
Beihang University, ChinaZJ
Zhiyang Ju
Dr. Ju graduated from the University of Melbourne, Australia in 2019 and was a postdoctoral researcher from 2019 to 2022 at Beihang University, China. He is now an associate professor with the Beijing Institute of Technology. His research interests include cybersecurity of cyber-physical systems, multiagent systems, vehicle dynamics and control, and autonomous vehicles. He has published 10 SCI papers in vehicle platooning control and vehicle attack detection. He serves as reviewers for various international journals such as IEEE TIV, TVT, TIE.
Affiliations and expertise
Beijing Institute of Technology, ChinaJC
Jicheng Chen
Dr. Chen graduated from the University of Victoria, Canada, in 2021 and he is currently a postdoctoral researcher in Beihang University, China. He has published 20 SCI and EI indexed papers in the field of control theory, vehicle dynamics control, cybersecurity, and autonomous vehicles.
Affiliations and expertise
Beihang University, ChinaQL
Qianyue Luo
Qianyue Luo’s research interest includes heterogeneous vehicles dynamics modelling and connected vehicle control.
Affiliations and expertise
PhD studentRead Vehicular Platoon System Design on ScienceDirect