Improved Weighted Average Prediction for Multi-Agent Networks

被引:5
|
作者
Wang, Huiwei [1 ]
Liao, Xiaofeng [1 ]
Huang, Tingwen [2 ]
Li, Chaojie [3 ]
机构
[1] Chongqing Univ, Coll Comp Sci, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China
[2] Texas A&M Univ Qatar, Doha, Qatar
[3] Univ Ballarat, Sch Sci Informat Technol & Engn, Mt Helen, Vic 3350, Australia
基金
中国国家自然科学基金;
关键词
Convergence speed; Multi-agent networks; Robustness; Weighted average consensus; CONSENSUS; BIFURCATION; INFORMATION; STABILITY;
D O I
10.1007/s00034-013-9717-x
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In sense of communication delays, an improved robust consensus algorithm for multi-agent networks and its the convergence rate have been investigated in this paper. Precisely, an improved weighted average prediction has been introduced to reformulate the network model into a neutral network fashion. By virtue of analyzing the Hopf bifurcation, an upper bound of the communication delay is derived for the multi-agent network, which could guarantee the network to achieve weighted average consensus. In addition, the main results show that not only can the proposed method promote the robustness but also improve its convergence rate. Finally, two numerical simulations are provided, which demonstrates the effectiveness of the method.
引用
收藏
页码:1721 / 1736
页数:16
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