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Decentralized state-feedback chaotification method of discrete Takagi-Sugeno fuzzy systems
作者姓名:卢俊国
作者单位:Department of Automation, Shanghai Jiaotong University, Shanghai,200030, China
基金项目:Project supported by the National Postdoctoral Science Foundation of China and the National Natural Science Foundation of China (Grant No 60404005)
摘    要:A new chaotification method is proposed for making an arbitrarily given discrete Takagi-Sugeno (TS) fuzzy system chaotic. Based on a given discrete TS fuzzy system, the new chaotification method uses the decentralized state-feedback control and the continuous sawtooth function, instead of the modulo operation, to construct a chaotic nonlinear system,which can generate discrete chaos with the arbitrarily desired amplitude bound. We apply the improved Marotto theorem to mathematically prove that the controlled system is chaotic in the sense of Li and Yorke. In particular, an explicit formula for the computation of chaotification parameters is obtained. A numerical example is used to illustrate the theoretical results.

关 键 词:混沌控制  Takagi-Sugeno模糊系统  时间同步  离散变量
收稿时间:2004-11-09

Decentralized state-feedback chaotification method of discrete Takagi--Sugeno fuzzy systems
Lu Jun-Guo.Decentralized state-feedback chaotification method of discrete Takagi-Sugeno fuzzy systems[J].Chinese Physics B,2005,14(4):703-708.
Authors:Lu Jun-Guo
Institution:Department of Automation, Shanghai Jiaotong University, Shanghai,200030, China
Abstract:A new chaotification method is proposed for making an arbitrarily given discrete Takagi--Sugeno (TS) fuzzy system chaotic. Based on a given discrete TS fuzzy system, the new chaotification method uses the decentralized state-feedback control and the continuous sawtooth function, instead of the modulo operation, to construct a chaotic nonlinear system, which can generate discrete chaos with the arbitrarily desired amplitude bound. We apply the improved Marotto theorem to mathematically prove that the controlled system is chaotic in the sense of Li and Yorke. In particular, an explicit formula for the computation of chaotification parameters is obtained. A numerical example is used to illustrate the theoretical results.
Keywords:chaos  chaotification  Takagi--Sugeno fuzzy system  chaos control
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