Adaptive deep neural network tracking controller augmented using only one-neuron hidden layers for nonlinear systems subject to high constraints and unknown uncertainties.
Hampu Ait AbbasPublished in: Int. J. Model. Identif. Control. (2021)
Keyphrases
- nonlinear systems
- tracking error
- hidden layer
- learning rate
- activation function
- neural network
- adaptive neural
- adaptive fuzzy
- back propagation
- tracking control
- lyapunov function
- output layer
- adaptive control
- feed forward neural networks
- fuzzy systems
- feed forward
- feedforward neural networks
- control law
- learning algorithm
- multilayer perceptron
- convergence rate
- fuzzy controller
- sliding mode control
- backpropagation algorithm
- artificial neural networks
- recurrent neural networks
- fuzzy model
- nonlinear functions
- fuzzy neural network
- number of hidden layers
- fuzzy control
- convergence speed
- radial basis function
- pattern recognition
- input output
- control scheme
- tracking accuracy
- neural nets
- genetic algorithm
- neural network model
- real time
- fuzzy logic
- decision making
- dead zone
- neural network controller
- latent variables
- bp neural network
- optimal control