Distributed Average Tracking for Heterogeneous Multi-Agent Systems

Chengxin Xian, Zeze Chang, Yu Zhao

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

Abstract

This paper studies the distributed average tracking problem for heterogeneous multi-agent systems with bounded derivatives reference signals. Two types of DAT signal estimators are devised for reference signals mentioned above by using the symbolic function method. It is proved that the estimator can eventually obtain to the average value of reference signals. Then, by using the output regulation techniques, a class of DAT control law is proposed such that the output of each agent tracks the average value of multiple reference signals. Finally, some simulation results are shown to prove the effectiveness of the proposed control law.

Original languageEnglish
Title of host publication2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages292-297
Number of pages6
ISBN (Electronic)9781728162461
DOIs
StatePublished - 13 Nov 2020
Event7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020 - Guangzhou, China
Duration: 13 Nov 202015 Nov 2020

Publication series

Name2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020

Conference

Conference7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020
Country/TerritoryChina
CityGuangzhou
Period13/11/2015/11/20

Keywords

  • distributed average tracking
  • heterogeneous multi-agent system
  • output regulation technique

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