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2021 ACC Paper (Theory): Accuracy Prevents Robustness in Perception-based Control

Year: 
2021
Citation: 
Paper: 

Abed AlRahman Al Makdah is a Ph.D. candidate in the Department of Electrical and Computer Engineering at the University of California, Riverside. He received his B.Eng. and M.Eng. in Mechanical Engineering from the American University of Beirut in 2014 and 2016, respectively. His research interests include analysis and control of dynamical systems, machine learning, and data driven control.

Vaibhav Katewa is an Assistant Professor in the Department of Electrical Communication Engineering and an associate faculty member of the Robert Bosch Center for Cyber Physical Systems at the Indian Institute of Science, Bangalore. He was a Postdoctoral Scholar in the department of Mechanical Engineering at the University of California, Riverside from 2017-2019. He received his M.S. and Ph.D. degrees from the University of Notre Dame in 2012 and 2016, and B.Tech. degree from IIT Kanpur in 2007, all in Electrical Engineering. His broad research interests are in the analysis and design of dynamical systems and networks using tools from control theory, optimization, communication theory and network science. Specific areas of interest include security and privacy for cyber-physical systems, sparse feedback control design, distributed detection, estimation and control, networked control systems and robust control.

Fabio Pasqualetti is an Associate Professor in the Department of Mechanical Engineering at the University of California, Riverside. He completed a Doctor of Philosophy degree in Mechanical Engineering at the University of California, Santa Barbara, in 2012, a Laurea Magistrale degree (M.Sc. equivalent) in Automation Engineering at the University of Pisa, Italy, in 2007, and a Laurea degree (B.Sc. equivalent) in Computer Engineering at the University of Pisa, Italy, in 2004. He has received several awards, including the 2020 Control Systems Letters Outstanding Paper Award, a Young Investigator Research Award from AFOSR in 2019, a Young Investigator Award from ARO in 2017, and the 2016 Transactions on Control of Network Systems Outstanding Paper Award. His main research interests are in the areas of cyber-physical systems, distributed systems and networks, and learning.

Text of Acceptance Speech: