Output Consensus for Heterogeneous Nonlinear Multi-Agent Systems Based on T-S Fuzzy Model
In this paper, the output consensus problem of general heterogeneous nonlinear multi-agent systems subject to different disturbances is considered. A kind of Takagi-Sukeno fuzzy modeling method is used to describe the nonlinear agents' dynamics. Based on the model, a distributed fuzzy observer and c...
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Published in | Journal of systems science and complexity Vol. 30; no. 5; pp. 1042 - 1060 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Beijing
Academy of Mathematics and Systems Science, Chinese Academy of Sciences
01.10.2017
Springer Nature B.V |
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Abstract | In this paper, the output consensus problem of general heterogeneous nonlinear multi-agent systems subject to different disturbances is considered. A kind of Takagi-Sukeno fuzzy modeling method is used to describe the nonlinear agents' dynamics. Based on the model, a distributed fuzzy observer and controller are designed based on parallel distributed compensation scheme and internal reference models such that the heterogeneous nonlinear multi-agent systems can achieve output consensus. Then a necessary and sufficient condition is presented for the output consensus problem. And it is shown that the consensus trajectory of the global fuzzy model is determined by the network topology and the initial states of the internal reference models. Finally, some simulations are given to illustrate and verify the effectiveness of the proposed scheme. |
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AbstractList | In this paper, the output consensus problem of general heterogeneous nonlinear multi-agent systems subject to different disturbances is considered. A kind of Takagi-Sukeno fuzzy modeling method is used to describe the nonlinear agents' dynamics. Based on the model, a distributed fuzzy observer and controller are designed based on parallel distributed compensation scheme and internal reference models such that the heterogeneous nonlinear multi-agent systems can achieve output consensus. Then a necessary and sufficient condition is presented for the output consensus problem. And it is shown that the consensus trajectory of the global fuzzy model is determined by the network topology and the initial states of the internal reference models. Finally, some simulations are given to illustrate and verify the effectiveness of the proposed scheme. In this paper, the output consensus problem of general heterogeneous nonlinear multi-agent systems subject to different disturbances is considered. A kind of Takagi-Sukeno fuzzy modeling method is used to describe the nonlinear agents’ dynamics. Based on the model, a distributed fuzzy observer and controller are designed based on parallel distributed compensation scheme and internal reference models such that the heterogeneous nonlinear multi-agent systems can achieve output consensus. Then a necessary and sufficient condition is presented for the output consensus problem. And it is shown that the consensus trajectory of the global fuzzy model is determined by the network topology and the initial states of the internal reference models. Finally, some simulations are given to illustrate and verify the effectiveness of the proposed scheme. |
Author | LI Xiaolei LUO Xiaoyuan LI Shaobao GUAN Xinping |
AuthorAffiliation | School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China Polytechnic School of En-gineering, New York University 11201, NY, USA Institute of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai200240, China |
Author_xml | – sequence: 1 givenname: Xiaolei surname: Li fullname: Li, Xiaolei organization: School of Electrical Engineering, Yanshan University – sequence: 2 givenname: Xiaoyuan surname: Luo fullname: Luo, Xiaoyuan email: xyluo@ysu.edu.cn organization: School of Electrical Engineering, Yanshan University, Polytechnic School of Engineering, New York University – sequence: 3 givenname: Shaobao surname: Li fullname: Li, Shaobao organization: School of Electrical Engineering, Yanshan University – sequence: 4 givenname: Xinping surname: Guan fullname: Guan, Xinping organization: Institute of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University |
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CitedBy_id | crossref_primary_10_1016_j_fss_2018_10_007 crossref_primary_10_1109_ACCESS_2025_3541345 crossref_primary_10_3390_en12122350 crossref_primary_10_1109_TCYB_2018_2859436 crossref_primary_10_1007_s11424_020_0059_z crossref_primary_10_1007_s40815_023_01673_0 |
Cites_doi | 10.1007/978-1-4613-0163-9 10.1016/j.automatica.2012.06.041 10.1109/TAC.2004.834113 10.1109/TIE.2013.2290757 10.1007/s11424-014-2062-8 10.1109/TCSI.2013.2283780 10.1109/TMECH.2014.2359969 10.1109/TAC.2010.2088710 10.1109/TFUZZ.2011.2172689 10.1109/TCST.2011.2164076 10.1016/j.automatica.2013.03.015 10.1002/asjc.1078 10.1109/TAC.2012.2235715 10.1109/TCYB.2013.2242197 10.1137/1.9780898718683 10.1109/TSMCB.2011.2179981 10.1109/TAC.2008.2010897 10.1016/j.automatica.2013.03.005 10.1109/TIE.2015.2442223 10.1109/TCYB.2015.2388538 10.1016/j.sysconle.2008.01.002 10.1007/BF01789463 10.1109/3477.826946 10.1007/s11424-015-3134-0 10.1109/ACC.2014.6858777 10.1109/TSMCB.2012.2236647 10.1109/TAC.2014.2309031 |
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Notes | In this paper, the output consensus problem of general heterogeneous nonlinear multi-agent systems subject to different disturbances is considered. A kind of Takagi-Sukeno fuzzy modeling method is used to describe the nonlinear agents' dynamics. Based on the model, a distributed fuzzy observer and controller are designed based on parallel distributed compensation scheme and internal reference models such that the heterogeneous nonlinear multi-agent systems can achieve output consensus. Then a necessary and sufficient condition is presented for the output consensus problem. And it is shown that the consensus trajectory of the global fuzzy model is determined by the network topology and the initial states of the internal reference models. Finally, some simulations are given to illustrate and verify the effectiveness of the proposed scheme. 11-4543/O1 Heterogeneous nonlinear multi-agent system, internal reference model, output consensus,T-S fuzzy model. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
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PublicationTitle | Journal of systems science and complexity |
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Snippet | In this paper, the output consensus problem of general heterogeneous nonlinear multi-agent systems subject to different disturbances is considered. A kind of... |
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SubjectTerms | Compensation Complex Systems Computer simulation Control Fuzzy control Fuzzy systems Mathematics Mathematics and Statistics Mathematics of Computing Multiagent systems Network topologies Nonlinear dynamics Operations Research/Decision Theory Statistics Systems Theory T-S模糊模型 一致性问题 充分必要条件 多智能体系统 并行分布式 模糊建模方法 系统输出 非线性 |
Title | Output Consensus for Heterogeneous Nonlinear Multi-Agent Systems Based on T-S Fuzzy Model |
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