A robust position/force learning controller of manipulators via nonlinear H infin control and neural networks.
Ming-Chang HwangXiheng HuPublished in: IEEE Trans. Syst. Man Cybern. Part B (2000)
Keyphrases
- adaptive control
- neural network
- control rules
- control method
- fuzzy logic
- learning algorithm
- control system
- reinforcement learning
- tracking control
- artificial neural networks
- highly nonlinear
- dynamic model
- neural nets
- impedance control
- adaptive controller
- control theory
- adaptive neural
- robotic manipulator
- delayed feedback
- control strategy
- robust stability
- variable structure
- nonlinear dynamics
- feedback control
- nonlinear systems
- control parameters
- control scheme
- control algorithm
- optimal control
- robotic systems