Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems | |
Jia-Xi Chen; Jun-Min Li | |
刊名 | International Journal of Automation and Computing
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2021 | |
卷号 | 18期号:5页码:826-837 |
关键词 | Fuzzy logic systems stochastic nonlinear multi-agent systems (MAS) consensus algorithm adaptive control |
ISSN号 | 1476-8186 |
DOI | 10.1007/s11633-021-1279-y |
英文摘要 | Using graph theory, matrix theory, adaptive control, fuzzy logic systems and other tools, this paper studies the leader-follower global consensus of two kinds of stochastic uncertain nonlinear multi-agent systems (MAS). Firstly, the fuzzy logic systems replaces the feedback compensator as the feedforward compensator to describe the uncertain nonlinear dynamics. Secondly, based on the network topology, all followers are divided into two categories: One is the followers who can obtain the leader signal, and the other is the follower who cannot obtain the leader signal. Thirdly, based on the adaptive control method, distributed control protocols are designed for the two types of followers. Fourthly, based on matrix theory and stochastic Lyapunov stability theory, the stability of the closed-loop systems is analyzed. Finally, three simulation examples are given to verify the effectiveness of the proposed control algorithms. |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/45466] ![]() |
专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
作者单位 | School of Mathematics and Statistics, Xidian University, Xi′an 710071, China |
推荐引用方式 GB/T 7714 | Jia-Xi Chen,Jun-Min Li. Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems[J]. International Journal of Automation and Computing,2021,18(5):826-837. |
APA | Jia-Xi Chen,&Jun-Min Li.(2021).Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems.International Journal of Automation and Computing,18(5),826-837. |
MLA | Jia-Xi Chen,et al."Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems".International Journal of Automation and Computing 18.5(2021):826-837. |
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