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Title:

Off-Policy Risk-Sensitive Reinforcement Learning-Based Constrained Robust Optimal Control

Document type:
Zeitschriftenaufsatz
Author(s):
Li, Cong; Liu, Qingchen; Zhou, Zhehua; Buss, Martin; Liu, Fangzhou
Keywords:
Convergence; Optimization; Optimal control; Process control; Robustness; Robust control; Periodic structures; Adaptive dynamic programming (ADP); input saturation; off-policy risk-sensitive reinforcement learning (RL); robust control; state constraint
Journal title:
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year:
2023
Journal volume:
53
Journal issue:
4
Pages contribution:
2478-2491
Fulltext / DOI:
doi:10.1109/TSMC.2022.3213750
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