@inproceedings{2599ce14cbf145188c8e1837c46e9dff,
title = "An IT2FNN-Based Sliding Mode Control Approach to Formation of Multi-Agent Systems with Switching Topology",
abstract = "This paper deals with the problem of robust formation control for multi-agent systems with switching topology by using a new fuzzy-neural-network based sliding mode control (SMC). A second-order nonlinear multi-agent system with uncertain velocity dynamics is formulated. In terms of the uncertain velocity dynamics term, we use an type-2 fuzzy-neural-network to obtain its estimate, then an integrated SMC law based on an newly designed integral sliding variable is proposed to the formation control multi-agent systems. Besides, the convergence analysis of the formation tracking error is provided. Moreover, the analysis of the finite-time reachability of a practical sliding mode is presented based on the Lyapunov function approach. Eventually, simulation results are given to show the validity of the proposed control approach.",
keywords = "Multi-agent systems, formation control, fuzzy neural network, sliding mode control, switching topology",
author = "Wen Zuo and Fan Wen and Yabin Gao and Weiran Yao and Jianxing Liu and Ligang Wu",
note = "Publisher Copyright: {\textcopyright} 2022 Technical Committee on Control Theory, Chinese Association of Automation.; 41st Chinese Control Conference, CCC 2022 ; Conference date: 25-07-2022 Through 27-07-2022",
year = "2022",
doi = "10.23919/CCC55666.2022.9902636",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "5050--5055",
editor = "Zhijun Li and Jian Sun",
booktitle = "Proceedings of the 41st Chinese Control Conference, CCC 2022",
address = "美国",
}