A Robust Consensus Seeking Algorithm

Srdjan S. Stanković, Marko Beko, Miloš S. Stanković

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationEUROCON 2019 - 18th International Conference on Smart Technologies
EditorsBoris Dumnic, Marko Delimar, Cedomir Stefanovic
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538693018
Publication statusPublished - Jul 2019
Event18th International Conference on Smart Technologies, EUROCON 2019 - Novi Sad, Serbia
Duration: 1 Jul 20194 Jul 2019


Conference18th International Conference on Smart Technologies, EUROCON 2019
CityNovi Sad


Dive into the research topics of 'A Robust Consensus Seeking Algorithm'. Together they form a unique fingerprint.

Cite this