Distributed Fuzzy Adaptive Consensus Control for a Class of Heterogeneous Multi-agent Systems with Nonidentical Dimensions

被引：4
作者：
Fan, Yongqing [1 ]
Hao, Meirong [1 ]
Li, Zhen [1 ]
机构：
[1] Xian Univ Posts & Telecommun, Sch Automat, Xian Key Lab Adv Control & Intelligent Proc, Xian 710121, Peoples R China
来源：
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2021年 / 23卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Consensus; Fuzzy adaptive control; Heterogenous Multi-agent systems; Similar Parameters; OUTPUT CONSENSUS; TRACKING CONTROL; ROBUST-CONTROL; NETWORKS; SYNCHRONIZATION;
D O I：
10.1007/s40815-020-01013-6
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A novel distributed fuzzy adaptive control approach is studied for a class of heterogeneous uncertain nonlinear multi-agent systems with different dimensions. Similar definition and property of each agent are introduced, and similar parameters among each agent can be obtained using the proposed properties, then the feedback distributed fuzzy adaptive control based on similar matrices and vectors is designed such that all followers can asymptotically track the leader's dynamic behaviors. It is proved that the consensus problem of heterogeneous nonlinear multi-agent systems with different dimensions can be guaranteed by applying the proposed control strategy. An efficient framework is that the computation burden can be alleviated greatly because of a few adaptive laws. Finally, two simulation examples are provided to verify the effectiveness of the designed control method.
引用
收藏
页码：128 / 138
页数：11
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