Secure Detection and Control in Cyber-Physical Systems: Working in the Presence of Malicious Data

In this pioneering reference work, Drs. 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.

Secure Detection and Control in Cyber-Physical Systems: Working in the Presence of Malicious Data presents readers with the basic concepts of cyber-physical systems, secure detection, and control theory, and explanations of new designs for secure detection and control algorithms that can provide acceptable system performance in the presence of attacks. The authors combine recent research results with a comprehensive comparison of such algorithms and provide ideas for future research. They also provide a concise overview of the state-of-the-art cyber-physical system security in a systems and control framework. Content is presented throughout in plain text with equations. Tables and charts are also included to complement the descriptions of the algorithms and aid reader's understanding. Throughout, the authors also present practical examples to illustrate the main ideas. Through this book, readers will gain a comprehensive understanding of the field, including its history, recent advances, and future trends. Readers will be able to apply the relevant algorithms to cyber-physical systems in various contexts – such as aerospace, transportation, power grids, and robotics – and enhance their resiliency to attacks.

This book is vital for researchers and engineers who are researching and working in the fields of cyber-physical systems, secure detection, control theory, and related topics. It is also hugely beneficial for students in the fields of information technology, control systems, or power systems. Readers should have a basic understanding of linear algebra, convex optimization, and stochastic processes.

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.