Abstract
The problem of synthesis of adaptive dynamic filter is presented in the form of problem of quasi-optimal control. The solution is obtained based on the theorem of the maximum of the function of the generalized power and analysis of the Lagrangian along characteristic trajectories in phase space. This allows to construct a model of controlled motion that can be represented in a quasilinear form. The obtained equation of the adaptive filter of the dynamic estimation of the motion parameters differs from the known equations by its feedback structure. On the basis of mathematical modeling it is shown that estimations of the proposed filter provide an increase in accuracy with less computational costs.
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Acknowledgements
The paper has been accomplished with the support of Russian Federal Property Fund grants No. 18-01-00385 A, № 18-08-01494 A and grant from the Rostov State Transport University.
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Kostoglotov, A., Lazarenko, S., Penkov, A., Kirillov, I., Manaenkova, O. (2019). Synthesis of Adaptive Algorithms for Estimating the Parameters of Angular Position 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_11
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