A training rule which guarantees finite-region stability for a class of closed-loop neural-network control systems.
Suwat KuntanapreedaR. Rees FullmerPublished in: IEEE Trans. Neural Networks (1996)
Keyphrases
- closed loop
- control system
- control law
- neural network
- asymptotic stability
- open loop
- feedback controller
- lyapunov function
- parameter uncertainties
- control scheme
- feedback control
- fuzzy logic
- linear matrix inequality
- training algorithm
- training process
- fault detection and isolation
- control algorithm
- parameter identification
- feedforward neural networks
- real time
- feed forward neural networks
- disturbance rejection
- backpropagation algorithm
- artificial neural networks
- back propagation
- adaptive fuzzy
- multi layer perceptron
- pid controller
- control strategy
- neural model
- neural network model
- fuzzy controller
- trajectory tracking
- fuzzy control
- nonlinear systems
- adaptive control
- control strategies
- fuzzy neural network
- learning algorithm
- hidden layer
- multilayer perceptron
- fuzzy sets
- fuzzy systems
- guaranteed cost