INTERACTIVE T-S FUZZY SEMANTIC MODEL ESTIMATION METHOD AND SYSTEM, AND COMPUTER READABLE STORAGE MEDIUM

摘要

An interactive T-S fuzzy semantic model estimation method and system, and a computer readable storage medium, being used for target tracking, solving the problem that the robustness and accuracy of search results are reduced as existing filtering algorithms can hardly satisfy system performance requirements. Said method comprises: different language values used defining different fuzzy semantic sets in a T-S fuzzy model; setting a probability conversion method between the fuzzy semantic sets; performing fuzzy interaction of the initial state of a target, to obtain a mixed initial state estimation of the target and a mixed initial state covariance; performing nonlinear filtering processing on the mixed initial state estimation and the mixed initial state covariance, to obtain an updated state and an updated state covariance; calculating and updating premise parameters of the T-S fuzzy model, to obtain updated premise parameters; calculating a standardized model probability; obtaining a state estimation of the target and a covariance estimation; and estimating the motion state of the target, thereby increasing the robustness and accuracy of research results.