Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Takagi-Sugeno Fuzzy Sampled-data Filter for Nonlinear System

비선형 시스템을 위한 Takagi-Sugeno 퍼지 샘플치필터

  • 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)
  • 김호준 (연세대학교 전기전자공학과) ;
  • 박진배 (연세대학교 전기전자공학과) ;
  • 주영훈 (국립군산대학교 제어로봇공학과)
  • Received : 2015.03.22
  • Accepted : 2015.06.04
  • Published : 2015.08.25
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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.

본 논문은 비선형 시스템을 위한 T-S 퍼지 샘플치 필터의 안정도 조건을 제시한다. 퍼지 시스템과 퍼지 필터 사이의 에러 시스템을 제시하며, 리아푸노프 안정도 해석 기법을 이용해 에러 시스템의 안정도 조건을 선형행렬부등식의 형태로 표현한다. 제안된 안정도 조건은 기존과는 다른 접근법을 이용하며, 더 나은 성능을 보인다. 모의실험을 통해 제안한 기법의 효용성을 검증한다.

Keywords

References

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