Sliding mode control of ROV based on RBF neural networks adaptive learning.
Heping LiuZhenbang GongMin LiPublished in: ISKE (2008)
Keyphrases
- adaptive learning
- sliding mode control
- rbf neural network
- radial basis function
- adaptive fuzzy
- robot manipulators
- pid controller
- control strategy
- adaptive neural
- neural network
- fault diagnosis
- rbf network
- neural network model
- data fusion
- sliding mode
- support vector regression
- bp neural network
- hidden layer
- learning objects
- fuzzy clustering
- learning environment
- chaotic systems
- nonlinear functions
- artificial neural networks
- concept maps
- multilayer perceptron
- nonlinear systems
- image segmentation
- control scheme
- student model
- e learning
- reinforcement learning
- image processing
- basis functions
- decision making
- expert systems
- control system
- control algorithm
- fuzzy c means
- particle swarm optimization
- learning activities