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Design of Fuzzy IMM Algorithm based on Basis Sub-models and Time-varying Mode Transition Probabilities
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  • Design of Fuzzy IMM Algorithm based on Basis Sub-models and Time-varying Mode Transition Probabilities
  • Design of Fuzzy IMM Algorithm based on Basis Sub-models and Time-varying Mode Transition Probabilities
저자명
Kim. Hyun-Sik,Chun. Seung-Yong
간행물명
International Journal of Control, Automation and Systems
권/호정보
2006년|4권 5호|pp.559-566 (8 pages)
발행정보
제어로봇시스템학회
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

In the real system application, the interacting multiple model (IMM) based algorithm requires less computing resources as well as a good performance with respect to the various target maneuverings. And it further requires an easy design procedure in terms of its structures and parameters. To solve these problems, a fuzzy interacting multiple model (FIMM) algorithm, which is based on the basis sub-models defined by considering the maneuvering property and the time-varying mode transition probabilities designed by using the mode probabilities as inputs of a fuzzy decision maker, is proposed. To verify the performance of the proposed algorithm, airborne target tracking is performed. Simulation results show that the FIMM algorithm solves all problems in the real system application of the IMM based algorithm.