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Design of TakagiSugeno fuzzy model based nonlinear sliding model controller

查看全文 作  者:Xu [1,2]gong;Chen [1]Zengqiang;Yuan [1]Zhuzhi 高影响力作者 机构地区:[1]Dept. of Automation, Nankai Univ., Tianjin 300071, P. R. China;[2]School of Science, Hebei Univ. of Technology, Tianjin 300130, P. R. China高影响力机构 出  处:《Journal of Systems Engineering and Electronics》索引2005年第16卷第4期,共5页高影响力期刊 基  金:ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(60174021,60374037) 摘  要:A design method is presented for TakagiSugeno (TS) fuzzy model based nonlinear sliding model controller. First, the closedloop fuzzy system is divided into a set of dominant local linear systems according to operating subregions. In each subregion the fuzzy system consists of nominal linear system and a group of interacting systems. Then the controller composed two parts is designed. One part is designed to control the nominal system, the other is designed to control the interacting systems with sliding mode theory. The proposed controller can improve the robustness and guarantee tracking performance of the fuzzy system. Stability is guaranteed without finding a common positive definite matrix. 关 键 词:滑动模式 模糊控制 T-S模糊系统 稳定性 鲁棒控制
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