Abstract
The paper considers the problem to estimate the parameters of the motion of maneuvering targets. The structure of the filter for estimating the parameters of motion is determined by the mathematical model of the motion. At present time the kinematic models are widely used, but they do not fully correspond to the observed dynamics. This may lead to divergence of the estimation process and failure of the computational procedure. New dynamic filters of the combined maximum principle with the dynamic model of motion possess higher accuracy and stability and smaller amount of computational costs in comparison with common filters. The parametric adaptation of the procedure is carried out using fuzzy logic.
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Kostoglotov, A., Lazarenko, S., Pugachev, I., Yachmenov, A. (2019). Synthesis of Intelligent Discrete Algorithms for Estimation with Model Adaptation Based on the Combined Maximum Principle. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 874. Springer, Cham. https://doi.org/10.1007/978-3-030-01818-4_12
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DOI: https://doi.org/10.1007/978-3-030-01818-4_12
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