Koopman-based Control for Stochastic Systems: Application to Enhanced Sampling

Published 12 Oct 2024 in math.OC, math.DS, and physics.comp-ph | (2410.09452v1)

Abstract: We present a data-driven approach to use the Koopman generator for prediction and optimal control of control-affine stochastic systems. We provide a novel conceptual approach and a proof-of-principle for the determination of optimal control policies which accelerate the simulation of rare events in metastable stochastic systems.

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