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Design of Fuzzy IMM Algorithm based on Basis Sub-models and Time-varying Mode Transition Probabilities  

Kim Hyun-Sik (Agency for Defense Development)
Chun Seung-Yong (Agency for Defense Development)
Publication Information
International Journal of Control, Automation, and Systems / v.4, no.5, 2006 , pp. 559-566 More about this Journal
Abstract
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.
Keywords
Basis sub-models; fuzzy interacting multiple model algorithm; maneuvering target tracking; time-varying mode transition probabilities;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By Web Of Science : 3  (Related Records In Web of Science)
Times Cited By SCOPUS : 3
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