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physics.comp-ph2026
Physics-informed Learning for Orbital Uncertainty Propagation with Error Bounds
Chun-Wei Kong, Morteza Lahijanian, Jay McMahon
The Fokker-Planck partial differential equation (FP-PDE) governs uncertainty evolution in stochastic dynamical systems. In orbital dynamics, solving the FP-PDE is challenging becau…
eess.SY2026
Certified Stochastic Control via Covariance Steering with Pick-to-Learn
Chun-Wei Kong, Zachary Donovan, Morteza Lahijanian +1
We present CS-P2L, a framework coupling covariance steering (CS) with the Pick-to-Learn (P2L) meta-algorithm for certified controller synthesis over high-fidelity stochastic simula…
eess.SY2026
Training with Hard Constraints: Learning Neural Certificates and Controllers for SDEs
Chun-Wei Kong, Sebastian Escobar, Ibon Gracia +2
Due to their expressive power, neural networks (NNs) are promising templates for functional optimization problems, particularly for reach-avoid certificate generation for systems g…