Security of Cyber-Physical Systems: State Estimation and Control
Published on 21. October 2022
Book
Paperback/Softback
XXV, 277 pages
978-3-030-88352-2 (ISBN)
Description
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.
More details
Series
Edition
2022 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
138 farbige Abbildungen
XXV, 277 p. 138 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 17 mm
Weight
464 gr
ISBN-13
978-3-030-88352-2 (9783030883522)
DOI
10.1007/978-3-030-88350-8
Schweitzer Classification
Other editions
Additional editions
Chengwei Wu | Weiran Yao | Guanghui Sun
Security of Cyber-Physical Systems: State Estimation and Control
Book
10/2021
Springer
€160.49
Shipment within 7-9 days
Persons
Guanghui Sun received the B.S. degree in automation and the M.S. and Ph.D. degrees in control science and engineering from Harbin Institute of Technology, Harbin, China, in 2005, 2007, and 2010, respectively. He is currently a professor in the Department of Control Science and Engineering, Harbin Institute of Technology. His research interests include fractional-order systems, networked control systems, and sliding mode control.
Chengwei Wu received the B.S. degree in management from the Arts and Science College, Bohai University, Jinzhou, China, in 2013, the M.S. degree from Bohai University, in 2016, and the Ph.D. degree from Harbin Institute of Technology, China, 2021. From July 2015 to December 2015, he was a research assistant in the Department of Mechanical Engineering, The Hong Kong Polytechnic University. From 2019 to 2021, he was a joint Ph.D. student at Department of Cognitive Robotics, Delft University of Technology, Netherlands. He is currently an associate professor with the Harbin Institute of Technology, Harbin, China. His research interests include reinforcement learning, sliding mode control, and cyber-physical systems.
Xiaolei Li received the B.S. degree in automation from Inner Mongolia University, Inner Mongolia, China, in 2016, and the M.S. degree in control science and engineering from the Harbin Institute of Technology, Harbin, China, in 2018, respectively. He is currently an assistant professor with the School of Astronautics, Harbin Institute of Technology. His research interests include fractional-order systems, space tethered system, sliding mode control, and model predictive control.
Zhiqiang Ma received the B.S. degree and the M.S. degree in control engineering from Northwestern Polytechnical University, Xi'an, China, in 2011 and 2014, respectively, and the Ph.D. degree in control science and engineering from the Harbin Institute of Technology, Harbin, China, in 2018. He is currently an associate professor with the School of Astronautics, Northwestern Polytechnical University. His current research interests include nonlinear dynamics and control for tethered space system and robotic teleoperation.
Shidong Xu received the B.S. degree in automation from Northeast Forestry University, Harbin, China, in 2012, and the M.S. and Ph.D. degrees in control science and engineering from the Harbin Institute of Technology, Harbin, China, in 2014 and 2018, respectively. He is currently a lecturer with the College of Aerospace Engineering, University of Aeronautics and Astronautics, Nanjing, China. His current research interests are in the geometric methods for the guidance, dynamics and control of autonomous unmanned systems.
Xiangyu Shao received the B.S. degree in automation from Harbin Engineering University, Harbin, China, in 2016, and M.S. and Ph.D. degrees in control science and engineering from the Harbin Institute of Technology, Harbin, China, in 2018 and 2022, respectively. He is currently an assistant professor with the School of Astronautics, Harbin Institute of Technology. His research interests include space robots, soft robots, sliding mode control, and fractional-order control.
Content
Introduction.- 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.