Hybrid approach to the dynamic systems identification based on the self-configuring genetic programming algorithm and the differential evolution method

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on Advanced Technologies in Aerospace, Mechanical and Automation Engineering, MIST: Aerospace 2020

Год издания: 2021

Идентификатор DOI: 10.1088/1757-899X/1047/1/012076

Аннотация: This paper considers a hybrid approach to the identification of dynamical systems based on a self-configuring genetic programming algorithm and a differential evolution method. The value of this approach is in the automatic determination of the order, structure and parameters of differential equation, i.e., a model of a dynamic system. The application of the differential evolution method can significantly increase the accuracy of the resulting model confirmed by the results of the experiments presented in this paper. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: Vol. 1047, Is. 1

Номера страниц: 12076

ISSN журнала: 17578981

Издатель: IOP Publishing Ltd

Персоны

Karaseva T.S. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny avenue, Krasnoyarsk, 660041, Russian Federation)
Semenkina O.E. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation)

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