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- W774633547 abstract "In this paper, we propose the design methodology of fuzzy rule-based target tracking systems usinggenetic algorithm. A method maneuvering dynamically and nonlinearly, is then proposed. In general, the solution of problems which are generated during the target tracking, is to estimate the track of targets, which is based on the past positions of targets that comes from measurements. Conventional Kalman filters show good performance for target tracking with a linear dynamic model, but its performance is rapidly degraded in case of high maneuvering and nonlinear dynamic targets. Such a problem has been solved by the fuzzy system proposed in this paper.1'he effectiveness and the feasibility of the proposed method have been demonstrated through the numerical simulation on the two-dimensional target tracking system." @default.
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- W774633547 date "1999-01-01" @default.
- W774633547 modified "2023-09-28" @default.
- W774633547 title "The Design of Fuzzy Ruled-Based Target Tracking Systems Using Genetic Algorithm" @default.
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