Radial basis function neural network-based adaptive sliding mode suspension control for maglev yaw system of wind turbines.
Guodong CuiBin CaiBaili SuXiaoguang ChuPublished in: J. Syst. Control. Eng. (2022)
Keyphrases
- radial basis function
- sliding mode
- neural network
- variable structure
- control strategy
- sliding mode control
- rbf network
- adaptive control
- rbf neural network
- stability analysis
- adaptive fuzzy
- robot manipulators
- control law
- adaptive neural
- wind turbine
- control scheme
- basis functions
- artificial neural networks
- support vector
- control theory
- control method
- hidden layer
- control algorithm
- mathematical model
- control system
- support vector machine svm
- rbfnn
- pid controller
- nonlinear systems
- wind speed
- support vector machine
- dynamic model
- back propagation
- fault diagnosis
- fuzzy control
- training data
- feature extraction
- learning algorithm
- genetic algorithm