Nonlinear Control of an Active Magnetic Bearing System Achieved Using a Fuzzy Control with Radial Basis Function Neural Network.
Seng-Chi ChenVan-Sum NguyenDinh-Kha LeNguyen Thi Hoai NamPublished in: J. Appl. Math. (2014)
Keyphrases
- fuzzy control
- pid control
- rbfnn
- radial basis function neural network
- dissolved oxygen
- control system
- control method
- variable structure
- internal model control
- fuzzy controller
- sensitivity analysis
- neural network
- radial basis function
- function approximation
- fuzzy logic controller
- hybrid method
- rbf neural network
- fuzzy logic
- fuzzy systems
- pattern classification
- nonlinear systems
- hybrid algorithm
- fuzzy rules
- control algorithm
- rbf network
- generalization ability
- pid controller
- multi objective
- hidden layer
- real time
- control scheme
- extracted features
- particle swarm optimization algorithm
- back propagation
- feed forward
- closed loop
- partial least squares
- artificial neural networks
- reinforcement learning
- artificial intelligence
- learning algorithm
- machine learning
- input output