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Output Consensus for Heterogeneous Nonlinear Multi-Agent Systems Based on T-S Fuzzy Model 被引量:3

Output Consensus for Heterogeneous Nonlinear Multi-Agent Systems Based on T-S Fuzzy Model
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摘要 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.
出处 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2017年第5期1042-1060,共19页 系统科学与复杂性学报(英文版)
基金 supported in part by the National Natural Science Foundation of China under Grant Nos.61375105 and 61403334 Chinese Postdoctoral Science Fundation under Grant No.2015M581318
关键词 Heterogeneous nonlinear multi-agent system internal reference model output consensus T-S fuzzy model. T-S模糊模型 多智能体系统 一致性问题 系统输出 非线性 并行分布式 模糊建模方法 充分必要条件
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