\( H_\infty\) tracking control for de-oiling hydrocyclone systems via event-triggered reinforcement learning
type: Item
instance of: scholarly article
title: \( H_\infty\) tracking control for de-oiling hydrocyclone systems via event-triggered reinforcement learning
zbMATH Open document ID: 1543.93068
author: Shaobao Li
author: Rongmin Shan
author: Juan Wang
author: Xiaoyuan Luo
author: Yuguang Zhang
author: Xinping Guan
published in: Journal of the Franklin Institute
publication date: 2024-07-25T00:00:00Z
Mathematics Subject Classification ID: 93B36
Mathematics Subject Classification ID: 93C65
Mathematics Subject Classification ID: 93C95
Mathematics Subject Classification ID: 91A05
Mathematics Subject Classification ID: 91A10
Mathematics Subject Classification ID: 91A80
zbMATH DE Number: 7887358
zbMATH Keywords: de-oiling hydrocyclone system
zbMATH Keywords: event-triggered control
zbMATH Keywords: reinforcement learning
zbMATH Keywords: zero-sum game
zbMATH Keywords: \(H_\infty\) control
MaRDI profile type: Publication
cites work: Model-free \(H_\infty\) tracking control for de-oiling hydrocyclone systems via off-policy reinforcement learning
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cites work: Event-separation properties of event-triggered control systems
cites work: Q3223913
DOI: 10.1016/J.JFRANKLIN.2024.107006
description: scientific article; zbMATH DE number 7887358