May 20, 2025
We will have Dr. Mohammad Ramadan from Argonne National Lab for this Friday’s seminar. Dr. Ramadan will be giving a virtual presentation on one of his current projects. Please find more details, including the Zoom link, below.
Date: Friday, May 23rd
Time: 12 – 1 PM(ish)
Location: on Zoom
Zoom: Zoom Link
Meeting ID: 992 5888 6608
Passcode: 347356
Title: Data-Conforming, Data-Driven Control: Avoiding Premature Generalizations Beyond Data
Abstract: 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 Ramadan 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 PhD in mechanical and aerospace engineering from the University of California, San Diego in 2023.
Thank you,
Mohammad Al-Jarrah | PhD Student
Aeronautics & Astronautics | University of Washington