Application of the evolutionary approach to structural and parametric identification of dynamic objects : доклад, тезисы доклада

Karaseva Tatiana

Дополнительные ссылки: eLibrary · Источник статьи

База данных: Каталог библиотеки СФУ

Библиографическое описание: Application of the evolutionary approach to structural and parametric identification of dynamic objects : доклад, тезисы доклада / T. T. Karaseva. - [S. l. : s. n.], 2024. - Текст : непосредственный // Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-II-2023) : Proceedings of the II International Workshop / Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-II-2023) (2023 ; 28.11 - 30.11 ; Krasnoyarsk). - Krasnoyarsk, 2024. - 59. - P. 4012. - This work was supported by the Ministry of Science and Higher Education of the Russian Federation (Grant № 075-15-2022-1121). - DOI 10.1051/itmconf/20245904012.

Аннотация: The paper examines the evolutionary approach to structural and parametric identification of dynamic systems in the form of differential equations. The approach is based on a genetic programming algorithm to determine a structure of the equation and differential evolution method for parameters selection. The author proposed approach based on such evolutionary algorithms as genetic programming and differential evolution. The search for the structure is carried out by genetic programming. The selection of numerical parameters and initial conditions is implemented by a method of differential evolution. The problem of finding a model that describes changes in the efficiency of a hydraulic system is solved with the help of this approach. The proposed approach is compared with a recurrent neural network and a nonparametric kernel regression estimation.

Год издания: 2024

Авторы: Karaseva Tatiana

Издательство: Krasnoyarsk

Выпуск: 59

Мероприятие: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-II-2023) (Krasnoyarsk, 2023 ; 28.11 - 30.11)

Номера страниц: 4012

Держатель оригинала документа: Siberian Federal University, Department of Business Informatics and Business Process Modeling

Количество экземпляров:

Твёрдая копия издания отсутствует в фонде библиотеки

Показать дополнительные сведения

On the automatic identification of differential equations using a hybrid evolutionary approach : доклад, тезисы…

Karaseva T. и др.
2021 год

Identification of Differential Equations Systems with Various Input Effects : доклад, тезисы доклада

Karaseva T. S.
2022 год

Multi-objective parametric synthesis of loss functions in neural networks with evolutionary… : доклад, тезисы доклада

Morozov Eduard и др.
2024 год

Multi-objective Dynamical System Parameters and Initial Value Identification Approach in… : доклад, тезисы доклада

Ryzhikov I.A. и др.
2017 год

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

Karaseva T.S. и др.
2021 год

Nonlinear dynamic system identification with a cooperative population-based algorithm… : доклад, тезисы доклада

Brester C и др.
2020 год

Evolutionary Approaches to the Identification of Dynamic Processes in the Form of Differential… : статья из журнала

Karaseva T. и др.
2022 год

ON THE IDENTIFICATION OF DYNAMIC SYSTEMS : научное издание

Karaseva T.S.
2021 год

ABOUT THE IDENTIFICATION OF DYNAMIC SYSTEMS UNDER NONPARAMETRIC UNCERTAINTY : доклад, тезисы доклада

Korneta M.E. и др.
2018 год

Determination of the structure of linear dynamic objects in the condition of incomplete information : доклад, тезисы…

Raskina A.V.
2017 год

Evolutionary optimization algorithms for differential equation parameters, initial value and… : доклад, тезисы доклада

Ryzhikov I. и др.
2016 год

Identification of models using analog sensitivity functions : доклад, тезисы доклада, статья из сборника материалов…

Voronov V.S. и др.
2020 год

Methods for identification of objects of development of cross-platform on-board software for… : доклад, тезисы доклада

Kovalev Dmitry и др.
2022 год

A Hybridization of Local and Global Search for Dynamic Multi-Objective Optimization Problem : доклад, тезисы доклада

Rurich Maria и др.
2022 год

GENETIC PROGRAMMING ALGORITHM FOR THE DYNAMIC SYSTEMS IDENTIFICATION : научное издание

Karaseva T.S.
2020 год

Multi-objective evolutionary approach in the linear dynamical system inverse modeling : доклад, тезисы доклада

Ryzhikov I. и др.
2018 год

Библиотечно-издательский комплекс СФУ

Application of the evolutionary approach to structural and parametric identification of dynamic objects : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Похожие публикации