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DOE OSTI · 1988297

Optimal Control by Transfer-Learning

Chen, Yan·Bhattacharya, Arnab·Li, Jing·Vrabie, Draguna L.
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Abstract

Through the project, a transfer-learning based optimal control methodology was developed. This can significantly reduce the time and data required for model learning and increase operation robustness and resilience via data-driven controller optimization. This methodology includes three major elements: 1) extraction of control knowledge or knowledge of tuning control parameter from a source feedback control task; 2) transferring of control knowledge from the source control task to a target control task (initialization of control parameters for the target control task); and 3) fast-adaptation of control parameters for the target task to achieve optimized performance.

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BibTeXRIS

Chen, Yan, Bhattacharya, Arnab, Li, Jing, Vrabie, Draguna L.. 2019-09-01. Optimal Control by Transfer-Learning. https://doi.org/10.2172/1988297

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