한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)

한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지

T-S 퍼지모델 기반 표적추적 시스템

The design T-S fuzzy model-based target tracking systems

  • 노선영 (연세대학교 전기전자공학과) ;
  • 주영훈 (군산대학교 전자정보공학부) ;
  • 박진배 (연세대학교 전기전자공학과)
  • Hoh Sun-Young (Dept. of Electrical & Electronic Eng., Yonsei University) ;
  • Joo Young-Hoon (School of Electronic & Information Eng., Kunsan University) ;
  • Park Jin-Bae (Dept. of Electrical & Electronic Eng., Yonsei University)
  • 발행 : 2005.11.01
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초록

In this note, the Takagi-Sugeno (T-S) fuzzy-model-based state estimator using standard Kalman filter theory is investigated. In that case, the dynamic system model is represented the T-S fuzzy model with the fuzzy state estimation. The steady state solutions can be found for proposed modeling method and dynamic system for maneuvering targets can be approximated as locally linear system. And then, modeled filter is corrected by the fuzzy gain which is a fuzzy system using the relation between the filter residual and its variation. This paper studies the T-S fuzzy model-based state estimator which the dynamic system can be approximated as linear system.

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