Iterative Learning Control for Network Systems Under Constrained Information Communication

Prof. Wenjun Xiong received the M.Sc. degree in applied mathematics from the Department of Mathematics, Southeast University, Nanjing, China, in 2005 and the Ph.D. degree in applied mathematics from the Department of Mathematics, City University of Hong Kong, China, in 2010. She is Professor at the School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China. Her research interests include iterative learning control, complex networks, nonlinear dynamics and control, and cooperative control of autonomous systems. Dr. Zijian Luo received his B.S. and M.Sc. degrees from Guizhou University in 2013 and 2017, respectively. And he will receive the Ph.D. degree in the School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China, in 2023. His current research interests include iterative learning control, complex networks, differential equations, and distributed control. Prof. Daniel W. C. Ho received B.S., M.S., and Ph.D. degrees in mathematics from the University of Salford, Greater Manchester, UK, in 1980, 1982, and 1986, respectively. From 1985 to 1988, he was Research Fellow with the Industrial Control Unit, University of Strathclyde, Glasgow, UK. In 1989, he joined the City University of Hong Kong, where he is currently Chair Professor of Applied Mathematics and Associate Dean of the College of Science. He has over 270 publications in scientific journals. His research interests include control and estimation theory, complex dynamical distributed networks, multiagent systems, and stochastic systems.

• Introduction.-  Consensus under Event-Triggered Transmission and Quantization.-  Consensus under Limited Information Communication.- Consensus under Switching Topology and Observer Information.- Tracking under Measurable and Unmeasurable State Information.- Tracking under Saturated Finite Interval and HNN-Structural Output.- Tracking Based on Discontinuous Learning Control Strategy.- Finite-iteration Learning Tracking with Packet Losses.-  Finite-Iteration Learning Tracking with FlexRay Communication Protocol.-  Multi-layered Sampled-data Tracking under Cooperative-Antagonistic Interactions.- Stability of Multilayer Supply Chain Networks with Constraints.- Security of Network Systems under Cyber-Attack