Security of Cyber-Physical Systems: State Estimation and Control: 396 (Studies in Systems, Decision and Control, 396) - Hardcover

Wu, Chengwei; Yao, Weiran; Sun, Guanghui; Wu, Ligang

Hardcover

ISBN 10: 3030883493 ISBN 13: 9783030883492

Publisher: Springer, 2021

Synopsis

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.

About this title

About the Author

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.

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2021
• Language: English
• ISBN 10: 3030883493
• ISBN 13: 9783030883492
• Binding: Hardcover
• Edition number: 1
• Number of pages: 302