| Issue |
E3S Web of Conf.
Volume 458, 2023
International Scientific Conference Energy Management of Municipal Facilities and Environmental Technologies (EMMFT-2023)
|
|
|---|---|---|
| Article Number | 09014 | |
| Number of page(s) | 7 | |
| Section | IT and Mathematical Modeling in Energy Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202345809014 | |
| Published online | 07 December 2023 | |
Mathematical model of an artificial neural network for controlling a robotic transport system during emergency rescue operations at energy facilities of the Penal System
1 Federal State Research Institute of the Federal Penitentiary Service of the Russian Federation, Moscow, 125130, Moscow, Narvskaya str., 15 A, Russian Federation
2 Tver State University, Tver, Russia
* Corresponding author: university69@mail.ru
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.
© The Authors, published by EDP Sciences, 2023
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