Finite-Time Consensus of Second-Order Switched Nonlinear Multi-Agent Systems

被引：230
|
作者：
Zou, Wencheng [1 ]
Shi, Peng [2 ,3 ]
Xiang, Zhengrong [1 ]
Shi, Yan [4 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
[2] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA 5005, Australia
[3] Victoria Univ, Coll Engn & Sci, Melbourne, Vic 8001, Australia
[4] Tokai Univ, Grad Sch Sci & Technol, Tokyo 8628652, Japan
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2020年 / 31卷 / 05期
基金：
中国国家自然科学基金; 澳大利亚研究理事会;
关键词：
Switches; Protocols; Nonlinear systems; Artificial neural networks; Learning systems; Finite-time consensus (FTC); multi-agent systems (MASs); neural networks (NNs); nonlinear systems; switched systems; DISTRIBUTED CONSENSUS; STABILIZATION; NETWORKS; FEEDBACK;
D O I：
10.1109/TNNLS.2019.2920880
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this brief, the practical finite-time consensus (FTC) problem is investigated for the second-order heterogeneous switched nonlinear multi-agent systems (MASs), where the subsystems and the switching signal for each agent are different. Mainly due to that agents' dynamics are switched and the unknown nonlinearities in the systems are more general, the practical FTC problem of the MASs is rather difficult to be solved by existing methods. As such, a new protocol design framework for the FTC problem is developed. Then, a novel adaptive protocol is proposed for the switched nonlinear MASs based on the developed design framework and the neural network method. The sufficient conditions for the practical FTC of nonlinear MASs under arbitrary switching are given. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed control scheme.
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页码：1757 / 1762
页数：6
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