Springer, 2022. — 293 p. — (Studies in Systems, Decision and Control 396). — Studies in Systems, Decision and Control 396). — ISBN 978-3-030-88349-2.
This book analyzes the secure problems of cyber-physical systems from both the adversary and defender sides. Targeting the challenging security problems of cyber-physical systems under malicious attacks, this book presents some recent novel secure state estimation and control algorithms, in which moving target defense scheme, zero-sum game-theoretical approach, reinforcement learning, neural networks, and intelligent control are adopted. Readers will find not only the valuable secure state estimation and control schemes combined with the approaches aforementioned, but also some vital conclusions for securing cyber-physical systems, for example, the critical value of allowed attack probability, the maximum number of sensors to be attacked, etc. The book also provides practical applications, example of which are unmanned aerial vehicles, interruptible power system, and robot arm to validate the proposed secure algorithms. Given its scope, it offers a valuable resource for undergraduate and graduate students, academics, scientists, and engineers who are working in this field.
Optimal DoS Attack Scheduling for CPSs
Active Defense Control of CPSs via Sliding Mode
Learning Tracking Control for CPSs
Intelligent Control for Nonlinear Networked Control Systems
Reliable Filtering of Sensor Networks
Secure Estimation for CPSs via Sliding Mode
Zero-Sum Game Based Optimal Secure Control
Proactive Secure Control for CPSs
Fault-Tolerant Tracking Control for Nonstrict-Feedback Systems
Deep Reinforcement Learning Control Approach to Mitigating Attacks
Conclusion and Further Work