Mathematical model of an artificial neural network for controlling a robotic transport system during emergency rescue operations at energy facilities of the Penal System
The paper investigates a mathematical model of an artificial neural network with a delay in the arguments of the state and control functions, designed to control a robotic system during rescue operations at the facilities of the energy complex. The learning process of the considered artificial neura...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/95/e3sconf_emmft2023_09014.pdf |
| _version_ | 1797345272007753728 |
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| author | Tsarkova Evgenia |
| author_facet | Tsarkova Evgenia |
| author_sort | Tsarkova Evgenia |
| collection | DOAJ |
| description | The paper investigates a mathematical model of an artificial neural network with a delay in the arguments of the state and control functions, designed to control a robotic system during rescue operations at the facilities of the energy complex. The learning process of the considered artificial neural network is described by the problem of optimal control with delay. Using the Pontryagin maximum principle and the method of fast automatic differentiation, a method for solving the obtained optimal control problem has been developed. The results of the software tool operation, which was created using the algorithm for constructing an approximate optimal control of the problem under consideration, are presented. |
| first_indexed | 2024-03-08T11:15:11Z |
| format | Article |
| id | doaj.art-3170c1c4951142db8e63940cf22ece8e |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-08T11:15:11Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-3170c1c4951142db8e63940cf22ece8e2024-01-26T10:35:55ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014580901410.1051/e3sconf/202345809014e3sconf_emmft2023_09014Mathematical model of an artificial neural network for controlling a robotic transport system during emergency rescue operations at energy facilities of the Penal SystemTsarkova Evgenia0Federal State Research Institute of the Federal Penitentiary Service of the Russian FederationThe paper investigates a mathematical model of an artificial neural network with a delay in the arguments of the state and control functions, designed to control a robotic system during rescue operations at the facilities of the energy complex. The learning process of the considered artificial neural network is described by the problem of optimal control with delay. Using the Pontryagin maximum principle and the method of fast automatic differentiation, a method for solving the obtained optimal control problem has been developed. The results of the software tool operation, which was created using the algorithm for constructing an approximate optimal control of the problem under consideration, are presented.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/95/e3sconf_emmft2023_09014.pdf |
| spellingShingle | Tsarkova Evgenia Mathematical model of an artificial neural network for controlling a robotic transport system during emergency rescue operations at energy facilities of the Penal System E3S Web of Conferences |
| title | Mathematical model of an artificial neural network for controlling a robotic transport system during emergency rescue operations at energy facilities of the Penal System |
| title_full | Mathematical model of an artificial neural network for controlling a robotic transport system during emergency rescue operations at energy facilities of the Penal System |
| title_fullStr | Mathematical model of an artificial neural network for controlling a robotic transport system during emergency rescue operations at energy facilities of the Penal System |
| title_full_unstemmed | Mathematical model of an artificial neural network for controlling a robotic transport system during emergency rescue operations at energy facilities of the Penal System |
| title_short | Mathematical model of an artificial neural network for controlling a robotic transport system during emergency rescue operations at energy facilities of the Penal System |
| title_sort | mathematical model of an artificial neural network for controlling a robotic transport system during emergency rescue operations at energy facilities of the penal system |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/95/e3sconf_emmft2023_09014.pdf |
| work_keys_str_mv | AT tsarkovaevgenia mathematicalmodelofanartificialneuralnetworkforcontrollingarobotictransportsystemduringemergencyrescueoperationsatenergyfacilitiesofthepenalsystem |