Fuzzy sliding-mode consensus control for multi-agent systems

Yeong Hwa Chang*, Chia Wen Chang, Wei Chou Chan

*Corresponding author for this work

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

7 Scopus citations

Abstract

A fuzzy sliding-mode consensus control is investigated for multi-agent systems in this paper. The consensus problem is discussed for networks of dynamic agents with external disturbances and model uncertainty. To deal with the consensus problems of the multi-agent system, a novel consensus algorithm combining the concepts of graph theory and fuzzy sliding-model control is proposed. According to the communication topology, the consensus stability conditions can be determined so that the fuzzy sliding-mode consensus controller (FSMCC) can be derived. Simulation results are provided to illustrate the effectiveness of the provided control scheme. Compared to the conventional consensus algorithms, the simulation results empirically support the promising performance of desire.

Original languageEnglish
Title of host publicationProceedings of the 2011 American Control Conference, ACC 2011
Pages1636-1641
Number of pages6
StatePublished - 2011
Event2011 American Control Conference, ACC 2011 - San Francisco, CA, United States
Duration: 29 06 201101 07 2011

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2011 American Control Conference, ACC 2011
Country/TerritoryUnited States
CitySan Francisco, CA
Period29/06/1101/07/11

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