Enhancing precision performance of trajectory tracking controller for robot manipulators using RBFNN and adaptive bound.
Naveen KumarVikas PanwarJin-Hwan BormJangbom ChaiPublished in: Appl. Math. Comput. (2014)
Keyphrases
- robot manipulators
- sliding mode
- trajectory tracking
- dynamic model
- rbfnn
- control scheme
- sliding mode control
- variable structure
- closed loop
- control law
- radial basis function neural network
- pid controller
- adaptive control
- control system
- tracking error
- function approximation
- sensitivity analysis
- control strategy
- stability analysis
- rbf neural network
- neural network
- visual servoing
- control method
- experimental data
- genetic algorithm
- adaptive neural
- adaptive fuzzy
- control theory
- generalization ability
- radial basis function
- fuzzy neural network
- hidden layer
- reinforcement learning
- feature extraction