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

Autor:	Guo, Lei, Heiland, Jan, Nüske, Feliks
Rok vydání:	2024
Předmět:	Mathematics - Optimization and Control Mathematics - Dynamical Systems Physics - Computational Physics
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2410.09452 Zobrazit plný text záznamu View this record from Arxiv