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eess.SY2025
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…
eess.SY2025
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…
eess.SY2025
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.…