| Autor: |
Ivanova Anastasia, Khamatnurova Regina, Kharin Nikita, Baltina Tatyana, Sachenkov Oskar |
| Jazyk: |
English<br />French |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
MATEC Web of Conferences, Vol 362, p 01010 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/202236201010 |
| Popis: |
The article describes the solution to the problem of stabilizing a nonlinear system using machine learning methods. Neural networks are one of the promising directions in this area. The article describes a model of spiking neural network, which differs from previous generations of networks by its similarity to biological neurons. A pendulum on an elastic foundation was chosen as a dynamic system for the study. The input layer of the neural network is the so-called sensory neuron, and information about the deviation of the pendulum from the equilibrium position was received on it. The Leaky Integrate-and-Fire model of the spiking neural network was used. The article shows the process of stabilization of a pendulum on an elastic foundation. The closed system was built and a method for a numerical solution was implemented. Two configurations of control functions have been considered. It is shown that the time required to bring the system into a steady equilibrium state depends on the choice of the control function. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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