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http://dx.doi.org/10.5391/JKIIS.2015.25.4.349

Takagi-Sugeno Fuzzy Sampled-data Filter for Nonlinear System  

Kim, Ho Jun (School of Electrical and Electroni Engineering, Yonsei University)
Park, Jin Bae (School of Electrical and Electroni Engineering, Yonsei University)
Joo, Young Hoon (School of Control and Robot Engineering, Kunsan National University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.25, no.4, 2015 , pp. 349-354 More about this Journal
Abstract
This paper presents the stability conditions of the Takagi-Sugeno (T-S) fuzzy sampled-data filter. The error system between the T-S fuzzy system and fuzzy filter is presented. In the sense of the Lyapunov stability analysis, the stability conditions are given, which can be represented in terms of linear matrix inequalities (LMIs). The proposed stability conditions utilize the different approach from the conventional methods, and have better performance than that of the conventional ones. The simulation example is given to show the effectiveness of the proposed method.
Keywords
Takagi-Sugeno (T-S) Fuzzy System; Sampled-data Filter; linear Matrix Inequality; Lyapunov Stability Analysis;
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Times Cited By KSCI : 3  (Citation Analysis)
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