Fuzzy Wavelet Neural Control of Underwater Manipulator

Fuzzy neural networks show good ability of self-adaption and self-learning, wavelet transformation or analysis shows the time frequency location characteristic and multi-scale ability. The controller based on fuzzy wavelet neural network is proposed in this paper. The presented approach has been used control for manipulator of underwater interfacing apparatus. And at last the computer simulation results show that control performance is improved significantly.