대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

유전 알고리즘 기반 퍼지 기저 함수 확장을 이용한 표적 추적 시스템 설계

The Design of Target Tracking System Using GA Based FBFN

  • 이범직 (연세대 전기.컴퓨터공학과) ;
  • 주영훈 (군산대 제어계측공학과) ;
  • 장욱 (연세대 전기.컴퓨터공학과) ;
  • 박진배 (연세대 전기.컴퓨터공학과)
  • Lee, Bum-Jik (Dept. of Electrical & Computer Engineering, Yonsei Univ.) ;
  • Joo, Young-Hoon (Dept. of Control & Instrumentation Engineering, Kunsan National Univ.) ;
  • Chang, Wook (Dept. of Electrical & Computer Engineering, Yonsei Univ.) ;
  • Park, Jin-Bae (Dept. of Electrical & Computer Engineering, Yonsei Univ.)
  • 발행 : 1999.07.19
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초록

In this paper, we propose the target tracking system using fuzzy basis function expansion (FBFN) based on genetic algorithm (GA). In general, the objective of target tracking is to predict the future trajectory of the target based on the past position of the target obtained from the sensor. In the conventional and mathematical method, the parameter uncertainty and the environmental noise may deteriorate the performance of the system. To resolve these problems, we apply artificial intelligent technique to the tracking control of moving targets. The proposed method combines the advantages of both traditional and intelligent technique. The result of numerical simulation shows the effectiveness of the proposed method.

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