| Autor: |
İkbal Eski, SCahin Yildirim |
| Jazyk: |
angličtina |
| Rok vydání: |
2014 |
| Předmět: |
|
| Zdroj: |
International Journal of Advanced Robotic Systems, Vol 11 (2014) |
| Druh dokumentu: |
article |
| ISSN: |
1729-8814 |
| DOI: |
10.5772/56740 |
| Popis: |
A neural network based robust control system design for the trajectory of Autonomous Underwater Vehicles (AUVs) is presented in this paper. Two types of control structure were used to control prescribed trajectories of an AUV. The vehicle was tested with random disturbances while taxiing under water. The results of the simulation showed that the proposed neural network based robust control system has superior performance in adapting to large random disturbances such as underwater flow. It is proved that this kind of neural predictor could be used in real-time AUV applications. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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