Safe model‐based reinforcement learning for nonlinear optimal control with state and input constraints
Author:
Affiliation:
1. Department of Chemical Engineering Kwangwoon University Seoul Republic of Korea
2. Technische Universität Berlin, Chair of Bioprocess Engineering Berlin Germany
Funder
Korea Agency for Infrastructure Technology Advancement
National Research Foundation of Korea
Publisher
Wiley
Subject
General Chemical Engineering,Environmental Engineering,Biotechnology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.17601
Reference64 articles.
1. Optimal control-1950 to 1985
2. Approximate dynamic programming-based approaches for input–output data-driven control of nonlinear processes
3. Choice of approximator and design of penalty function for an approximate dynamic programming based control approach
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