Dynamic event-triggered H∞ control for markov jump systems with input saturation

被引:5
作者
Zhang, Lixia [1 ]
Sun, Minhui [1 ]
机构
[1] Ocean Univ China, Sch Math Sci, Qingdao 266100, Peoples R China
关键词
Markov jump systems (M[!text type='JS']JS[!/text]s); Input saturation; Dynamic event-triggered mechanism; (DETM); The domain of attraction (DOA); STATE ESTIMATION; LINEAR-SYSTEMS; ACTUATOR; DESIGN;
D O I
10.1016/j.ejcon.2022.100770
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper is mainly to explore H infinity state feedback control problem for Markov jump systems (MJSs) with input saturation. To avoid the waste of network resources, a dynamic event-triggered mechanism (DETM) is proposed from system plant to controller, which produces a larger interval between two consecutive events compared with the traditional static one. On the basis of this model, sufficient criteria for stochas-tic stability of the controlled MJSs are derived by linear matrix inequalities (LMIs) and the controllers are designed. Then the maximum estimate of the domain of attraction (DOA) is obtained by the optimization procedure. Finally, examples show that the proposed DETM has better properties of saving resources than static event-triggered mechanism (ETM) while maintaining the same performance.(c) 2023 European Control Association. Published by Elsevier Ltd. All rights reserved.
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页数:9
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