In this pioneering reference work, Yan, Mo, and Wen explain secure detection and control algorithms for cyber-physical systems; describe their history and development, recent advances, and future trends; and provide practical examples to illustrate the topic.
In this pioneering reference work, Yan, Mo, and Wen explain secure detection and control algorithms for cyber-physical systems; describe their history and development, recent advances, and future trends; and provide practical examples to illustrate the topic.
Jiaqi Yan received her Ph.D. from Nanyang Technological University, Singapore, in 2021. She is currently a Professor in the School of Automation Science and Electrical Engineering, Beihang University, China. She previously held positions at ETH Zurich, Tokyo Institute of Technology, Tsinghua University, and California Institute of Technology. Yilin Mo is an Associate Professor in the Department of Automation, Tsinghua University. He received his Bachelor of Engineering from Tsinghua University in 2007 and his Ph.D. from Carnegie Mellon University in 2012. Prior to his current position, he held positions at Carnegie Mellon University, California Institute of Technology, and Nanyang Technological University. Changyun Wen received his B.Eng. from Xi'an Jiaotong University, China, in 1983 and his Ph.D. degree from the University of Newcastle, Australia in 1990. Since August 1991, he has been with Nanyang Technological University, Singapore, where he is a Full Professor. Professor Wen is an IEEE Fellow and a Fellow of the Academy of Engineering, Singapore.
Inhaltsangabe
1. Introduction 2. Literature Review 3. Sequential Detection with Byzantine Sensors 4. Resilient Consensus of Second-Order Systems Through Impulsive Control 5. Resilient Multi-Dimensional Consensus in Adversarial Environment 6. Resilient Containment Control in Adversarial Environment 7. Conclusions and Future Work
1. Introduction 2. Literature Review 3. Sequential Detection with Byzantine Sensors 4. Resilient Consensus of Second-Order Systems Through Impulsive Control 5. Resilient Multi-Dimensional Consensus in Adversarial Environment 6. Resilient Containment Control in Adversarial Environment 7. Conclusions and Future Work
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