Adaptive fuzzy sliding-mode formation control for second-order multi-agent systems

Chia Wen Chang*, Chun Lin Chen, Yeong Hwa Chang, C. W. Tao

*Corresponding author for this work

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

8 Scopus citations

Abstract

In this paper, an adaptive fuzzy sliding-mode formation controller (AFSFC) is designed to accomplish the formation tracking control of multi-robot systems. The multi-agent system with the proposed AFSFC can reach the desired formation asymptotically. Based on an adaptive tuning scheme, the external disturbances are dealt with and the analysis of the control stability is given. The simulation results are included to indicate the effectiveness of the provided controller.

Original languageEnglish
Title of host publication2010 International Conference on System Science and Engineering, ICSSE 2010
Pages310-314
Number of pages5
DOIs
StatePublished - 2010
Event2010 International Conference on System Science and Engineering, ICSSE 2010 - Taipei, Taiwan
Duration: 01 07 201003 07 2010

Publication series

Name2010 International Conference on System Science and Engineering, ICSSE 2010

Conference

Conference2010 International Conference on System Science and Engineering, ICSSE 2010
Country/TerritoryTaiwan
CityTaipei
Period01/07/1003/07/10

Keywords

  • Adaptive control
  • Consensus algorithm
  • Fuzzy sliding-mode control
  • Multi-robot system

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