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

Hyun-Sik Kim and Seung-Yong Chun
International Journal of Control, Automation, and Systems, vol. 4, no. 5, pp.559-566, 2006

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.

Keyword : Basis sub-models, fuzzy interacting multiple model algorithm, maneuvering target tracking, time-varying mode transition probabilities.

 
 
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