A Robust Consensus Seeking Algorithm

被引:2
|
作者
Stankovic, Srdjan S. [1 ,2 ]
Beko, Marko [3 ,4 ]
Stankovic, Milos S. [2 ,5 ,6 ]
机构
[1] Univ Belgrade, Sch Elect Engn, Belgrade, Serbia
[2] Vlatacom Inst, Belgrade, Serbia
[3] Univ Lusofona, COPELABS, Lisbon, Portugal
[4] Univ Nova Lisboa, Caparica, Portugal
[5] Univ Belgrade, Sch Elect Engn, Innovat Ctr, Belgrade, Serbia
[6] Singidunum Univ, Belgrade, Serbia
来源
PROCEEDINGS OF 18TH INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES (IEEE EUROCON 2019) | 2019年
关键词
STOCHASTIC-APPROXIMATION; MULTIAGENT SYSTEMS; NETWORKS; CONVERGENCE;
D O I
10.1109/eurocon.2019.8861907
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 this paper we propose a new robust consensus algorithm based on the introduction of a nonlinear transformation selected according to the methodology of robust statistics. Compared to the standard linear consensus scheme, the proposed algorithm provides significant improvements from the point of view of noise influence on the limit state value at consensus, and the convergence rate. It is proved that the algorithm almost surely convergences to a finite consensus point, belonging to the set of zeros of the regression function. The choice of the nonlinearities in the algorithm is discussed from the robust statistics point of view. Some illustrative simulation results are provided demonstrating the theoretically anticipated advantages of the proposed algorithm.
引用
收藏
页数:6
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