Vehicular 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.
1. Chapter 1 : Introduction: Attack detection and resilience for connected and automated vehicles: from vehicle dynamics and control perspective - p. Page xiv 2. Chapter 2 : Robust tube-based DMPC platoon control design: Unknown input observer-based approach for distributed tube-based model predictive control of heterogeneous vehicle platoons - p. Page 46 3. Chapter 3 : Stochastic DMPC platoon control design: Distributed stochastic model predictive control for heterogeneous vehicle platoons subject to modeling uncertainties - p. Page 95 4. Chapter 4 : Asynchronous self-triggered stochastic DMPC platoon control design: Asynchronous self-triggered stochastic distributed MPC for cooperative vehicle platooning over vehicular ad-hoc networks - p. Page 133 5. Chapter 5 : Attack detection using a UFIR estimator: Deception attack detection and estimation for a local vehicle in vehicle platooning based on a modified UFIR estimator - p. Page 166 6. Chapter 6 : Distributed deception attack detection: Distributed deception attack detection in platoon-based connected vehicle systems - p. Page 202 7. Chapter 7 : Attack detection using moving horizon estimation: Attack-resilience distributed model predictive control of vehicular platoon systems using moving horizon attack estimation - p. Page 230 8. Chapter 8 : Event-triggered resilient platoon control: Distributed dynamic event-triggered secure model predictive control of vehicle platoon against DoS attacks - p. Page 247 9. Index - p. Page 283
Vehicular 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.
1. Chapter 1 : Introduction: Attack detection and resilience for connected and automated vehicles: from vehicle dynamics and control perspective - p. Page xiv 2. Chapter 2 : Robust tube-based DMPC platoon control design: Unknown input observer-based approach for distributed tube-based model predictive control of heterogeneous vehicle platoons - p. Page 46 3. Chapter 3 : Stochastic DMPC platoon control design: Distributed stochastic model predictive control for heterogeneous vehicle platoons subject to modeling uncertainties - p. Page 95 4. Chapter 4 : Asynchronous self-triggered stochastic DMPC platoon control design: Asynchronous self-triggered stochastic distributed MPC for cooperative vehicle platooning over vehicular ad-hoc networks - p. Page 133 5. Chapter 5 : Attack detection using a UFIR estimator: Deception attack detection and estimation for a local vehicle in vehicle platooning based on a modified UFIR estimator - p. Page 166 6. Chapter 6 : Distributed deception attack detection: Distributed deception attack detection in platoon-based connected vehicle systems - p. Page 202 7. Chapter 7 : Attack detection using moving horizon estimation: Attack-resilience distributed model predictive control of vehicular platoon systems using moving horizon attack estimation - p. Page 230 8. Chapter 8 : Event-triggered resilient platoon control: Distributed dynamic event-triggered secure model predictive control of vehicle platoon against DoS attacks - p. Page 247 9. Index - p. Page 283
