Force Tracking Control for Electro-Hydraulic Actuators Based on Radial Basis Function Neural Networks.
Xinhui TianHonglei AnZhitong ZhangXu ChangHongxu MaQing WeiPublished in: RCAR (2021)
Keyphrases
- rbfnn
- pid control
- control system
- pattern classification
- control law
- nonlinear systems
- sensitivity analysis
- rbf neural network
- function approximation
- neural network
- radial basis function
- dc motor
- degrees of freedom
- mathematical model
- hidden layer
- rbf network
- multilayer perceptron
- fuzzy logic
- real time
- control scheme
- genetic algorithm
- adaptive control
- clustering algorithm