Application of the evolutionary approach to structural and parametric identification of dynamic objects
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 select...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
|
| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/02/itmconf_hmmocs2023_04012.pdf |
| _version_ | 1797333984165756928 |
|---|---|
| author | Karaseva Tatiana |
| author_facet | Karaseva Tatiana |
| author_sort | Karaseva Tatiana |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T08:14:03Z |
| format | Article |
| id | doaj.art-ff7cc3a01ec6480dadc7e3a26e96197e |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-03-08T08:14:03Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-ff7cc3a01ec6480dadc7e3a26e96197e2024-02-02T08:04:06ZengEDP SciencesITM Web of Conferences2271-20972024-01-01590401210.1051/itmconf/20245904012itmconf_hmmocs2023_04012Application of the evolutionary approach to structural and parametric identification of dynamic objectsKaraseva Tatiana0Siberian Federal University, Department of Business Informatics and Business Process ModelingThe 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.https://www.itm-conferences.org/articles/itmconf/pdf/2024/02/itmconf_hmmocs2023_04012.pdf |
| spellingShingle | Karaseva Tatiana Application of the evolutionary approach to structural and parametric identification of dynamic objects ITM Web of Conferences |
| title | Application of the evolutionary approach to structural and parametric identification of dynamic objects |
| title_full | Application of the evolutionary approach to structural and parametric identification of dynamic objects |
| title_fullStr | Application of the evolutionary approach to structural and parametric identification of dynamic objects |
| title_full_unstemmed | Application of the evolutionary approach to structural and parametric identification of dynamic objects |
| title_short | Application of the evolutionary approach to structural and parametric identification of dynamic objects |
| title_sort | application of the evolutionary approach to structural and parametric identification of dynamic objects |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2024/02/itmconf_hmmocs2023_04012.pdf |
| work_keys_str_mv | AT karasevatatiana applicationoftheevolutionaryapproachtostructuralandparametricidentificationofdynamicobjects |