Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/134831
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Type: | Conference paper |
Title: | Fuzzy-based dissipative consensus for multi-agent systems with markov switching topologies |
Author: | Yu, J. Shi, P. Li, Q. Xing, W. Chadli, M. Dimirovski, G.M. |
Citation: | IFAC-PapersOnLine, 2020, vol.53, iss.2, pp.4127-4131 |
Publisher: | Elsevier |
Publisher Place: | Netherlands |
Issue Date: | 2020 |
ISSN: | 2405-8963 2405-8963 |
Conference Name: | IFAC World Congress (11 Jul 2020 - 17 Jul 2020 : virtual online) |
Statement of Responsibility: | Jiafeng Yu, Peng Shi, Qinsheng Li, Wen Xing, Mohammed Chadli, Georgi M.Dimirovski |
Abstract: | In this paper, the dissipativity-based consensus problem for polynomial fuzzy multi-agent systems is considered. First, a novel fuzzy modeling method is proposed to describe the error dynamics. By establishing the changing topologies by Markov process, a new consensus protocols are designed. By polynomial Lyapunov function and sum of squares, sufficient condition is given to assure even-square consensus with dissipative performance. Finally, an illustrative example is employed to verify the proposed dissipativity-based even-square consensus design schemes. |
Keywords: | Fuzzy system; dissipativity; multi-agent system; switching topology; Markov process |
Rights: | © 2020 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0) |
DOI: | 10.1016/j.ifacol.2020.12.2446 |
Grant ID: | http://purl.org/au-research/grants/arc/DP170102644 |
Published version: | https://www.sciencedirect.com/ |
Appears in Collections: | Electrical and Electronic Engineering publications |
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hdl_134831.pdf | Published version | 479.94 kB | Adobe PDF | View/Open |
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