<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg" display="inline" id="d1e55"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> tracking control for de-oiling hydrocyclone systems via event-triggered reinforcement learning-Reference-Cited by-同舟云学术

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H∞ tracking control for de-oiling hydrocyclone systems via event-triggered reinforcement learning

Published:2024-08 Issue:12 Volume:361 Page:107006
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Li Shaobao^ORCID,Shan Rongmin,Wang Juan,Luo Xiaoyuan,Zhang Yuguang,Guan Xinping

Publisher

Elsevier BV

Reference25 articles.

1. Application of H∞ robust control on a scaled offshore oil and gas de-oiling facility;Durdevic;Energies,2018

2. Plant-wide control for better de-oiling of produced water in offshore oil & gas production;Yang;IFAC Proc. Vol.,2013

3. Model-free H∞ tracking control for de-oiling hydrocyclone systems via off-policy reinforcement learning;Li;Automatica,2021

4. Adaptive event-triggered PID load frequency control for multi-area interconnected wind power systems under aperiodic DoS attacks;Zhong;Expert Syst. Appl.,2024

5. Stability and stabilization of fuzzy event-triggered control for positive nonlinear systems;Wang;Int. J. Fuzzy Syst.,2024

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