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Journal of Systems Science and Complexity

, Volume 30, Issue 5, pp 1042–1060 | Cite as

Output consensus for heterogeneous nonlinear multi-agent systems based on T-S fuzzy model

  • Xiaolei Li
  • Xiaoyuan LuoEmail author
  • Shaobao Li
  • Xinping Guan
Article

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.

Keywords

Heterogeneous nonlinear multi-agent system internal reference model output consensus T-S fuzzy model 

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Copyright information

© Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Xiaolei Li
    • 1
  • Xiaoyuan Luo
    • 1
    • 2
    Email author
  • Shaobao Li
    • 1
  • Xinping Guan
    • 3
  1. 1.School of Electrical EngineeringYanshan UniversityQinhuangdaoChina
  2. 2.Polytechnic School of EngineeringNew York UniversityNew YorkUSA
  3. 3.Institute of Electronic, Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghaiChina

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