H∞ consensus for Markov jump multi-agent systems with partly unknown transition probabilities and multiplicative noise

被引:5
作者
Wang, Jie [1 ,2 ,3 ]
Chen, Xin [1 ,2 ,3 ]
机构
[1] China Univ Geosci, Sch Automat, Wuhan 430074, Hubei, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan, Peoples R China
[3] Minist Educ, Engn Res Ctr Intelligent Technol Geo Explorat, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
H-infinity consensus; Markov jump; multiplicative noise; partly unknown transition probabilities; NEURAL-NETWORKS; STABILITY ANALYSIS; LINEAR-SYSTEMS; STABILIZATION; SYNCHRONIZATION;
D O I
10.1002/asjc.2928
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 focuses on the H-infinity consensus control problem about Markov jump multi-agent systems with partly unknown transition probabilities and multiplicative noise. The transition probabilities of the Markov jumps are considered to be partly unknown, which are more applicable than the traditional assumption in Markov jump systems that all of them must be completely known. Sufficient conditions for H-infinity consensus control problem are derived by using less linear matrix inequalities. Finally, a simulation example is provided to show the validity of our results.
引用
收藏
页码:1653 / 1662
页数:10
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