3 citations · 3 across the 8 of their papers we have counts for
5 papers · 1 filter
Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches
S. Sivaranjani, Yuanyuan Shi, Nikolay Atanasov +6
We survey classical, machine learning, and data-driven system identification approaches to learn control-relevant and physics-informed models of dynamical systems. Recently, machin…
Learning Neural Network Safe Tracking Controllers from Backward Reachable Sets
Yuezhu Xu, Mohamed Serry, Jun Liu +1
The design of tracking controllers that closely follow a reference trajectory while ensuring safety and robustness against disturbances is a challenging problem in the control of a…
Traffic-Aware Microgrid Planning for Dynamic Wireless Electric Vehicle Charging Roadways
Dipanjan Ghose, Junjie Qin, S Sivaranjani
Dynamic wireless charging (DWC) is an emerging technology that has the potential to reduce charging downtime and on-board battery size, particularly in heavy-duty electric vehicles…
Learning Neural Koopman Operators with Dissipativity Guarantees
Yuezhu Xu, S. Sivaranjani, Vijay Gupta
We address the problem of learning a neural Koopman operator model that provides dissipativity guarantees for an unknown nonlinear dynamical system that is known to be dissipative.…
Reinforcement Learning based Distributed Control of Dissipative Networked Systems
K. C. Kosaraju, S. Sivaranjani, W. Suttle +2
We consider the problem of designing distributed controllers to stabilize a class of networked systems, where each subsystem is dissipative and designs a reinforcement learning bas…