Abstract
A method for identification of the dynamics of a quadrotor-type vehicle is proposed. The method is based on the Elman recurrent neural network, which corresponds to the canonical form of a dynamic system in the space of states and does not require structural correction. The results of a numerical experiment reveal the convergence of the network learning algorithm with the use of an extended Kalman filter.
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Original Russian Text © Yu.N. Zolotukhin, K.Yu. Kotov, A.M. Svitova, E.D. Semenyuk, M.A. Sobolev, 2018, published in Avtometriya, 2018, Vol. 54, No. 6, pp. 107–113.
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Zolotukhin, Y.N., Kotov, K.Y., Svitova, A.M. et al. Identification of the Dynamics of a Moving Object with the Use of Neural Networks. Optoelectron.Instrument.Proc. 54, 617–622 (2018). https://doi.org/10.3103/S8756699018060109
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DOI: https://doi.org/10.3103/S8756699018060109