应电信学院鄢超波副教授邀请，美国康涅狄格大学 (University of Connecticut) 的张亮教授将作题为
Attach-Resilient Cyber-Physical Systems: A Control-Theoretic Approach
In a cyber-physical system (CPS), the physical plant may be either in normal or anomalous condition (due to, e.g., adversarial physical attacks). The monitoring system (e.g., wired or wireless sensor network), which is intended to monitor the plant process variables and evaluate the plant condition, may be under a cyber-attack, forcing its sensors to project erroneous data, possibly leading to erroneous actions on the part of the operator. In addition, the real-time feedback control system of the CPS, which is intended to automatically maintain the plant process variables in a desired range, may be compromised by erroneous information from the sensors involved in the feedback loops and/or by attacks on their actuators, possibly leading to a catastrophe. In the framework of this CPS, we refer to the monitoring system as resilient (RMS) if it provides the least uncertain process variable estimates and plant condition assessment. Similarly, the feedback control system is referred to as resilient (RCS) if it identifies attacks on the actuators and sensors involved in the feedback loops and mitigates undesirable effects. Finally, a cyber-physical system equipped with both RMS and RCS is referred to as attack-resilient (AR-CPS). In this talk, we present fundamental methods and results to-date on RMS and RCS design and analysis using a control-theoretic approach, and provide insights into AR-CPS operation. The efficacy of the results is illustrated through applications in power plant and power grid control systems.
报告人简介：Dr. Liang Zhang received his B.E. and M.E. degrees from the Center for Intelligent and Networked Systems (CFINS), Department of Automation, Tsinghua University, Beijing, China, in 2002 and 2004, respectively, and the Ph.D. degree in Electrical Engineering - Systems from the University of Michigan, Ann Arbor, USA, in 2009. He is currently an Assistant Professor at the Department of Electrical and Computer Engineering, University of Connecticut. Before joining UConn, he was with the Department of Industrial and Manufacturing Engineering, University of Wisconsin-Milwaukee from 2009 to 2013. His research interests include modeling, analysis, improvement, design, control, and energy-efficient operations of manufacturing and service systems, modeling and analysis of battery equalization systems, and resilient control of cyber-physical systems.