LEARNING
A neural net controller for underwater robotic vehicles
J. Yuh
- 发表年份
- 1990
- 引用次数
- 180
摘要
Results of a study on the application of neural networks to the control system of underwater robotic vehicles (URVs) are presented. The robustness of the control system with respect to nonlinear dynamic behavior and parameter uncertainties is investigated by computer simulation. The results show the feasibility of using unpredictable changes in the dynamics of the vehicle and its environment.
关键词
Robustness (evolution)UnderwaterArtificial neural networkNonlinear systemControl engineeringVehicle dynamicsControl theory (sociology)Computer scienceSystem dynamicsEngineering
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