no code implementations • 24 Jun 2023 • Truong X. Nghiem, Ján Drgoňa, Colin Jones, Zoltan Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw Cortez, Draguna L. Vrabie
Specifically, the paper covers an overview of the theory, fundamental concepts and methods, tools, and applications on topics of: 1) physics-informed learning for system identification; 2) physics-informed learning for control; 3) analysis and verification of PIML models; and 4) physics-informed digital twins.
no code implementations • 7 Oct 2021 • Jean Pierre Allamaa, Petr Listov, Herman Van der Auweraer, Colin Jones, Tong Duy Son
In this paper, we present the development and deployment of an embedded optimal control strategy for autonomous driving applications on a Ford Focus road vehicle.
no code implementations • 19 Sep 2018 • Sanket Diwale, Colin Jones
The necessary and sufficient conditions for existence of a generalized representer theorem are presented for learning Hilbert space-valued functions.