 Distributed fuzzy consensus of uncertain topology structure multi-agent systems with non-identical partially unknown control directionsJiaxi Chen, Junmin Li, Rui Zhang and Chengzhou Wei Applied Mathematics and Computation, 2019, vol. 362, issue C, - Abstract: This paper mainly studies the consensus problem for a class of multi-agent systems with uncertain topology structure and non-identical partially unknown control directions. Aiming at uncertain topology structure and unknown control directions, T-S fuzzy model and Nussbaum function are used, respectively. Under the assumption that uncertain topology structure is fuzzy union connected and only a small portion of followers have access to the information of leader, some new control protocols are presented to solve the consensus problem for the first-order and second-order nonlinear multi-agent systems, respectively. Furthermore, the designed consensus protocols can be extended to the formation control. At last, the validity of the proposed methods is verified by four simulation examples. Keywords: Adaptive consensus; Multi-agent systems; T-S fuzzy model; Uncertain topology structure; Non-identical control directions; Partially unknown (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:362:y:2019:i:c:51 DOI: 10.1016/j.amc.2019.124581 Access Statistics for this article Applied Mathematics and Computation is currently edited by Theodore Simos More articles in Applied Mathematics and Computation from Elsevier |
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