Networked Control Under Communication Constraints

Prof. Liu received the Ph.D. degree in the Department of Electrical Engineering and Systems from Tel Aviv University, Tel Aviv, Israel, in December 2012. From February 2013 to February 2015 he was a postdoctoral researcher at the ACCESS Linnaeus Centre, KTH Royal Institute of Technology, Stockholm, Sweden. From March 2015 to August 2015 he held Researcher, Visiting, and Research Associate positions at, respectively, KTH Royal Institute of Technology, Stockholm, Sweden, CNRS, Laboratory for Analysis and Architecture of Systems, Toulouse, France, and The University of Hong Kong, Hong Kong. From June 2018 to July 2018, he was a Visiting Scholar with INRIA, Lille, France.  Since September 2015 he is an Associate Professor at the School of Automation, Beijing Institute of Technology, China. His research interests include networked control, time-delay systems and security control. He has published more than 60 articles in scientific journals and conferences. Currently he serves as Associate Editor in IMA Journal of Mathematical Control and Information, Journal of Beijing Institute of Technology.

“This book is well written and clear and constitute a very good reference for recent developments on the Lyapunov-based analysis of networked control under communication constraints, and which can be useful for the scientists and engineers with interest in sampled-data and networked control, time-delay systems, and of course to graduate students in automatic control and systems theory.” (Kaïs Ammari, zbMATH 1458.93002, 2021)

• Introduction.- Stabilization of NCSs via Discontinuous Lyapunov Functionals.- Wirtinger’s Inequality and Sampled-data Control.- Networked Control under Round-Robin Protocol.- NCSs in the Presence of TOD and Round-Robin Protocols.- Networked Control with Stochastic Protocol.- Decentralized NCSs with Local Networks under TOD/Round-Robin Protocol.- Dynamic Quantization of Uncertain Linear NCSs.- Discrete-time Network-based Control under Scheduling and Actuator Constraints.- Quantized Control under Round-Robin Protocol.- Improved Stability Conditions for Discrete-time Systems under Dynamic Protocols.- Decentralized Networked Control of Discrete-time Systems with Local Networks.