| Autor: |
Alexandr Siukhin, Denis Dedov, Artem Obukhov |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). |
| DOI: |
10.1109/fareastcon50210.2020.9271589 |
| Popis: |
The article considers several approaches to mathematical modeling of the automatic control system for simulating physical force based on neural networks. The prototype system based on the controlled linear treadmill and a motion capture suit for virtual reality. The study carried out analysis of existing approaches to the management of such systems. A mathematical model of the automatic control system functioning process has been developed to simulate physical forces, taking into account the disadvantages of existing systems. The scientific novelty of the model consists in the use of neural networks to form patterns of changes in the position of control points of a person, allowing to predict his actions and implement an adaptive system of automatic decision-making management to simulate physical force. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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