Optimal control for continuous-time Markov jump singularly perturbed systems : A hybrid reinforcement learning scheme-Reference-Cited by-同舟云学术

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Optimal control for continuous-time Markov jump singularly perturbed systems : A hybrid reinforcement learning scheme

Published:2024-05 Issue:7 Volume:361 Page:106771
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Huang Yaling,Li Wenqian^ORCID,Wang Yun^ORCID,Shen Hao^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference43 articles.

1. Dynamic quantized control for switched fuzzy singularly perturbation systems with event-triggered protocol;Liu;J. Franklin Inst.,2023

2. Data-driven near optimization for fast sampling singularly perturbed systems;Shen;IEEE Trans. Automat. Control,2024

3. Reinforcement learning-based composite optimal operational control of industrial systems with multiple unit devices;Zhao;IEEE Trans. Ind. Inform.,2022

4. Reliable control of fuzzy singularly perturbed systems and its application to electronic circuits;Wang;IEEE Trans. Circuits Syst. I Reg. Pap.,2018

5. Dynamic event-based mixed H∞ and dissipative asynchronous control for Markov jump singularly perturbed systems;Wang;Appl. Math. Comput.,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-driven control for multi-rate sampling singularly perturbed systems;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

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