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Colloquium on Digital Transformation Science

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  May 20June 10, 3 pm CT Feedback Control Perspectives on Learning Security of Cyber-Physical Systems Jeff Shamma, Professor, Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign REGISTER FOR ZOOM WEBINAR The impact of feedback control is extensive. It is deployed in a wide array of engineering domains, including aerospace, robotics, automotive, communications, manufacturing, and energy applications, with super-human performance having been achieved for decades. Many settings in learning involve feedback interconnections, e.g., reinforcement learning has an agent in feedback with its environment, and multi-agent learning has agents in feedback with each other. By explicitly recognizing the presence of a feedback interconnection, one can exploit feedback control perspectives for the analysis and synthesis of such systems, as well as investigate trade-offs in fundamental limitations of achievable performance inherent in all feedback control systems. This talk highlights selected feedback control concepts — in particular, robustness, passivity, tracking, and stabilization — as they relate to specific questions in evolutionary game theory, no-regret learning, and multi-agent learning.coming decades may see large-scale deployment of networked cyber-physical systems to address global needs in areas such as energy, water, health care, and transportation. However, as recent events have shown, such systems are vulnerable to cyber attacks. We begin by revisiting classical linear systems theory, developed in more innocent times, from a security-conscious, even paranoid, viewpoint. Then we present a general technique, called “dynamic watermarking,” for detecting any sort of malicious activity in networked systems of sensors and actuators. We then present a field test experimental demonstration of this technique on an automobile on a test track, a process control system, a simulation study of defense against an attack on Automatic Gain Control (AGC) in a synthetic power system, and an emulated attack on a solar-powered home. This is joint work with Bharadwaj Satchidanandan, Jaewon Kim, Woo Hyun Ko, Tong Huang, Lantian Shangguan, Kenny Chour, Jorge Ramos, Prasad Enjeti, Le Xie, and Swaminathan Gopalswamy. P. R. Kumar is a Professor of Electrical & Computer Engineering and Industrial & Systems Engineering at Texas A&M University. Prior to that, he served in the Department of Mathematics at the University of Maryland, Baltimore County (1977-84) and the Department of Electrical and Computer Engineering and the Coordinated Science Laboratory Jeff S. Shamma is the Department Head of Industrial and Enterprise Systems Engineering (ISE) and Jerry S. Dobrovolny Chair in ISE at the University of Illinois at Urbana-Champaign . Prior academic appointments include faculty positions at King Abdullah University of Science and Technology (KAUST), as Adjunct Professor of Electrical and Computer Engineering, and Georgia Institute of Technology, where he was the Julian T. Hightower Chair in Systems and Controls. Shamma received a PhD in Systems Science and Engineering from MIT in 1988. He is a Fellow of IEEE and IFAC; recipient of IFAC High Impact Paper Award, AACC Donald P. Eckman Award, and NSF Young Investigator Award; and a past Distinguished Lecturer of the IEEE Control Systems Society. Shamma is currently serving as Editor-in-Chief for IEEE Transactions on Control of Network Systems(1985-2011). His current focus includes Machine Learning (ML), Cyber-Physical Systems (CPS), security, privacy, UTM, 5G, wireless networks, and power systems. He is a member of the U.S. National Academy of Engineering, the World Academy of Sciences, and Indian National Academy of Engineering. Honors include a Doctor Honoris Causa by ETH, the IEEE Field Award for Control Systems, the Eckman Award of AACC, the Ellersick Prize of IEEE ComSoc, the Outstanding Contribution Award of ACM SIGMOBILE, the Infocom Achievement Award, and the SIGMOBILE Test-of-Time Paper Award. He is a Fellow of IEEE and ACM.

  
  

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