Koopman-based Control for Stochastic Systems: Application to Enhanced Sampling
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866909346802171904 |
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| author | Guo, Lei Heiland, Jan Nüske, Feliks |
| author_facet | Guo, Lei Heiland, Jan Nüske, Feliks |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_09452 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Koopman-based Control for Stochastic Systems: Application to Enhanced Sampling Guo, Lei Heiland, Jan Nüske, Feliks Optimization and Control Dynamical Systems Computational Physics 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. |
| title | Koopman-based Control for Stochastic Systems: Application to Enhanced Sampling |
| topic | Optimization and Control Dynamical Systems Computational Physics |
| url | https://arxiv.org/abs/2410.09452 |