LANS Seminar

Seminar Title:  Data-conforming data-driven control: avoiding premature generalizations beyond data

Speaker: Mohammad Ramadan, Postdoctoral Appointee, Mathematics and Computer Science Division, Argonne National Laboratory (In-person)

Date/Time: November 20, 2024/ 10:30 AM-11:30 AM
Location: See Meeting URL on the cels-seminars website which will require an Argonne login.

Description: Data-driven, adaptive, and robust control approaches face the problem of introducing sudden distributional shifts beyond the distribution of data encountered during learning. Therefore, they are prone to invalidating the very assumptions used in their own construction. This is due to the linearity of the underlying system, inherently assumed and formulated in most data-driven control approaches, which may falsely generalize the behavior of the system beyond the behavior experienced in the data. This work seeks to mitigate these problems by enforcing consistency of the newly designed closed-loop systems with data and slowing down any distributional shifts in the joint state-input space. This is achieved through incorporating affine regularization terms and linear matrix inequality constraints to data-driven approaches, resulting in convex semi-definite programs that can be efficiently solved by standard software packages.

Bio: Mohammad is a postdoctoral appointee in the Mathematics and Computer Science Division at Argonne National Laboratory. He obtained his B.S. degree in aeronautical engineering from Jordan University of Science and Technology in 2016 and his Ph.D. in mechanical and aerospace engineering from University of California San Diego in 2023. His research interests include stochastic optimal control, state estimation, data-driven and robust control. Mohammad enjoys working out, practicing yoga, learning music theory, and organizing summer ice cream events.  

Please note that the meeting URL for this event can be seen on the cels-seminars website which requires an Argonne login.