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Fuzzy-based Dissipative Consensus for Multi-Agent Systems with Markov Switching Topologies

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Title: Fuzzy-based Dissipative Consensus for Multi-Agent Systems with Markov Switching Topologies
Authors: Yu, Jiafeng, Shi, Peng, Li, Qinsheng, Xing, Wen, Chadli, Mohammed, Dimirovski, Georgi M.
Publisher Information: Elsevier
Publication Year: 2020
Collection: Doğuş University Institutional Repository (DSpace@Dogus) / Doğuş Üniversitesi Akademik Arşiv Sistemi
Subject Terms: Fuzzy system, dissipativity, multi-agent system, switching topology, Markov process, Of-Squares Approach, Nonlinear-Systems, Dynamical-Systems, H-Infinity, Stabilization
Description: 21st IFAC World Congress on Automatic Control - Meeting Societal Challenges -- JUL 11-17, 2020 -- ELECTR NETWORK ; 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. Copyright (C) 2020 The Authors. ; Int Federat Automat Control, Siemens, Bayer, ABB, MathWorks, Phoenix Contact, Ifak Technol, Berlin Heart, Elsevier, De Gruyter, Tele Medi GmbH ; National Nature Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61773131]; Australian Research CouncilAustralian Research Council [DP170102644]; Natural Science Foundation of Jiangsu ProvinceNatural Science Foundation of Jiangsu Province [BK20191457]; National Science Foundation of Heilongjiang Province [F2017028]; Fundamental Research Funds in Heilongjiang Provincial Universities [135409102, 135409426, 135109242]; PH.D workstation of Jiangsu Maritime Institute [BS1602]; key Subject of Modern Education in Jiangsu Province [61980] ; This work was supported partly by the National Nature Science Foundation of China under Grant 61773131, partly the Australian Research Council under Grant DP170102644, partly by Natural Science Foundation of Jiangsu Province BK20191457, partly by National Science Foundation of Heilongjiang Province F2017028, partly by the Fundamental Research Funds in Heilongjiang Provincial Universities (NO.135409102, NO.135409426, NO.135109242), partly by the PH.D workstation of Jiangsu Maritime Institute No.BS1602, partly by the key Subject of Modern Education in Jiangsu Province No.61980.
Document Type: conference object
Language: English
Relation: Ifac Papersonline; Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; https://doi.org/10.1016/j.ifacol.2020.12.2446; https://hdl.handle.net/11376/3965; 53; 4127; 4131; WOS:000652592500666; N/A; Q3
DOI: 10.1016/j.ifacol.2020.12.2446
Availability: https://hdl.handle.net/11376/3965
https://doi.org/10.1016/j.ifacol.2020.12.2446
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.44C41285
Database: BASE
Description
Abstract:21st IFAC World Congress on Automatic Control - Meeting Societal Challenges -- JUL 11-17, 2020 -- ELECTR NETWORK ; 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. Copyright (C) 2020 The Authors. ; Int Federat Automat Control, Siemens, Bayer, ABB, MathWorks, Phoenix Contact, Ifak Technol, Berlin Heart, Elsevier, De Gruyter, Tele Medi GmbH ; National Nature Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61773131]; Australian Research CouncilAustralian Research Council [DP170102644]; Natural Science Foundation of Jiangsu ProvinceNatural Science Foundation of Jiangsu Province [BK20191457]; National Science Foundation of Heilongjiang Province [F2017028]; Fundamental Research Funds in Heilongjiang Provincial Universities [135409102, 135409426, 135109242]; PH.D workstation of Jiangsu Maritime Institute [BS1602]; key Subject of Modern Education in Jiangsu Province [61980] ; This work was supported partly by the National Nature Science Foundation of China under Grant 61773131, partly the Australian Research Council under Grant DP170102644, partly by Natural Science Foundation of Jiangsu Province BK20191457, partly by National Science Foundation of Heilongjiang Province F2017028, partly by the Fundamental Research Funds in Heilongjiang Provincial Universities (NO.135409102, NO.135409426, NO.135109242), partly by the PH.D workstation of Jiangsu Maritime Institute No.BS1602, partly by the key Subject of Modern Education in Jiangsu Province No.61980.
DOI:10.1016/j.ifacol.2020.12.2446