Adaptive electro-hydraulic posittion tracking system based on dynamic recurrent fuzzy neural network
基于动态递归模糊神经网络的自适应电液位置跟踪系统

Dynamic recurrent fuzzy neural network(DRFNN) is proposed to evaluate online the unknown dynamic nonlinear functions that include nonlinearity,parameter uncertainty,load disturbance et al.in electro-hydraulic position tracking system,adaptive laws of the adjustable parameters and the evaluation error bounds of DRFNN are formulated based on Lyapunov stability theory,and a stable adaptive controller is synthesized.The experimental results show that the adaptive controller based on DRFNN can make electro-hydraulic position tracking system more robust and obtain satisfactory tracking performance.