Output Regulation and Cybersecurity of Networked Switched Systems

Networked switched system has emerged as an essential system model in the field of control due to its accurate reflection of the wide-area distribution and typical switching characteristics of increasingly sophisticated controlled objects in engineering practice. The openness of communication networks, the limitation of communication resources, and the complexity of switching behaviors make it a challenging task to ensure the steady-state and transient performance of the output regulation of networked switched systems.

 

This book proposes several novel methodologies for output regulation of networked switched systems from the perspective of both steady-state and transient performance. The core features of our approaches are fourfold: i) Without imposing stability requirements on individual subsystems and all switching instants, a series of innovative dwell-time switching technologies are established to handle the issue of output regulation for networked switched systems with severely unstable dynamics under event-triggering strategies in the presence of cyber attacks. ii) Taking into account switching rules and cyber attack parameters within the event-triggered control framework, event detection conditions, modal matching conditions, and event waiting conditions are constructed, and a series of new event-triggering mechanisms are proposed to effectively enhance network resource utilization and secure steady-state performance of networked switched systems. iii) Typical cyber attacks have unique consequences on the secure steady-state performance of networked switched systems with severely unstable dynamics due to the short activation time of a single subsystem and the necessity to relay the switching signal through the network. To this purpose, the consecutive asynchronous switching behaviors of the subsystem or controller resulting from a long-duration DoS attack or an integrity deception attack incorporating switching signal tampering are investigated. iv) To deal with the transient performance fluctuations of the closed-loop system caused by factors such as mismatch switching between the subsystem and the corresponding controller, data update at event-triggering instants, cyber attack blocking and tampering of transmitted data, etc., bumpless transfer control strategies are formulated in the interpolation type and multi-source type, balancing the transient and steady-state performances of the output regulation of networked switched systems. This book presents these topics in a systematic way, which is of tremendous importance to both theoretical research and practical applications involving switched systems.

Lili Li received her B.S. degree in information and computing science and Ph.D. degree in control theory and control engineering from Northeastern University, China in 2004 and 2009 respectively. From 2009 to 2012, she was a Postdoctoral Scholar with the School of Control Science and Engineering, Dalian University of Technology, China. From 2009 to 2017, she was with the School of Mathematics, Liaoning Normal University, China, before joining Dalian Maritime University, where she is currently an Associate Professor in the College of Marine Electrical Engineering. Dr Li was the recipient of Liaoning BaiQianWan Talents Program and Dalian High-level Talents Innovation Program. She is a member of IEEE. Her current research interests include hybrid systems, security control, output regulation and marine vehicles.

Jun Fu received his Ph.D. degree in mechanical engineering from Concordia University, Montreal, QC, Canada, in 2009. He was a Postdoctoral Fellow /Associate with the Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA, from 2010 to 2014. He is currently a Full Professor with Northeastern University, Shenyang, China. He has authored /coauthored more than 100 publications, which appeared in journals, conference proceedings, and books. His current research interests include switched systems, robust control, and dynamic optimization. Dr. Fu received the 2018 Young Scientist Award in Science issued by the Ministry of Education of China (the first awardee in Chinese Control Community). He is currently an Associate Editor of the IEEE Transactions on Industrial Informatics, IEEE Transactions on Neural Networks and Learning Systems, and IFAC Control Engineering Practice.