GA-based fuzzy neural network control for ROV

Abstract Aiming at the problem of uncertainty and static instability underwater robot system, a motion control algorithm based on fuzzy neural network optimized by genetic is proposed in this paper. The makes use characteristics which can predict approximate target value well complementarity function to network, uses optimize parameters membership function, so as reduce computation network. experimental results show that controller has good robustness enhances stability system.