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Secure Control and Estimation for Cyber-Physical Systems under Malicious Cyber Attacks

创建时间:  2019/11/11  王智渊   浏览次数:   返回

报告时间:2019年11月11日(周一)13:30-14:30

报告地点:宝山校区东区9号楼604


报告题目:Secure Control and Estimation for Cyber-Physical Systems under Malicious Cyber Attacks

报告人:Peng Shi 教授


内容简介:

Cyber-Physical Systems (CPSs) are the integration of computation, networking and physical processes, which play an increasingly important role in critical infrastructure, government and everyday life. This talk considers the problem of secure control and estimation design for CPSs suffering from two kinds of malicious cyber attacks. Compared with traditional control systems, CPSs are more vulnerable to cyber attacks implemented by adversaries in the sense of more open degree of their cyber layer. Both false data injection attacks and DoS attacks may cause serious damages to the normal operation of physical layers. Thus, it is important to investigate security issues concerning with secure control and estimation design. In this talk, we focus on CPSs under DoS attacks and false injection attacks, the former violate data timeliness by blocking available data flows while the latter temper transmitted data packets to destroy the trustworthiness. Design architectures are presented to ensure the desired system performance.



报告人简介:Peng Shi received the PhD degree in Electrical Engineering from the University of Newcastle, Australia in 1994. He was awarded the Doctor of Science degree from the University of Glamorgan, Wales in 2006; and the Doctor of Engineering degree from the University of Adelaide, Australia in 2015. He is now a professor at the University of Adelaide. His research interests include system and control theory, intelligent systems, and autonomous systems. He is a Member of Board of Governors, IEEE SMC Society, and an IEEE Distinguished Lecturer. He is a Fellow of the Institute of Electrical and Electronic Engineers, the Institution of Engineering and Technology, and the Institute of Engineers, Australia. He received the Andrew Sage Best Transactions Paper Award from IEEE SMC Society in 2016; and the Lofti Zaden Best Paper Award from International Conference on Machine Learning and Cybernetics in 2019. He has served on the editorial board of a number of journals, including IEEE Transactions on (Automatic Control; Cybernetics; Fuzzy Systems; Circuits and Systems); IEEE Access; IEEE Control Systems Letters; Automatica; etc.    



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