Distributed Average Aracking for Heterogeneous Nonlinear Multiagent Systems with Switching Network Topologies

Bo Wang, Dingchao Yao, Bowen Xu, Dengxiu Yu

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

Abstract

This paper addresses the distributed average tracking problem for heterogeneous nonlinear multiagent systems under switching network topologies. A systematic algorithm is proposed, integrating a distributed filter and a control input and managing topology variations through an average dwell time approach. Local filters continuously estimate reference signal averages, then control law drives agent's state to synchronize with their respective filter state. Sufficient conditions are established to achieve average tracking with switching networks, where chattering artifacts are effectively suppressed while tracking precision is maintained.

Original languageEnglish
Title of host publication2025 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2025 and International Symposium on Autonomous Systems, ISAS 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331544706
DOIs
StatePublished - 2025
Event2025 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2025 and International Symposium on Autonomous Systems, ISAS 2025 - Xi'an, China
Duration: 23 May 202525 May 2025

Publication series

Name2025 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2025 and International Symposium on Autonomous Systems, ISAS 2025

Conference

Conference2025 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2025 and International Symposium on Autonomous Systems, ISAS 2025
Country/TerritoryChina
CityXi'an
Period23/05/2525/05/25

Keywords

  • Distributed average tracking
  • distributed control
  • multiagent systems
  • switching topologies

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