Training neural networks with a multi-objective sliding mode control algorithm.
Marcelo Azevedo CostaAntônio de Pádua BragaBenjamin Rodrigues de MenezesRoselito de Albuquerque TeixeiraGustavo Guimarães ParmaPublished in: Neurocomputing (2003)
Keyphrases
- control algorithm
- sliding mode
- multi objective
- control strategy
- control law
- neural network
- sliding mode control
- control method
- adaptive fuzzy
- variable structure
- control system
- neural network controller
- evolutionary algorithm
- sliding mode controller
- control scheme
- genetic algorithm
- nonlinear systems
- trajectory tracking
- optimization algorithm
- adaptive control
- fuzzy neural network
- fuzzy controller
- stability analysis
- lyapunov stability
- optimal control
- fuzzy logic controller
- control theory
- fuzzy logic
- mathematical model
- feedforward neural networks
- multi layer perceptron
- artificial neural networks
- particle swarm optimization
- neural network model
- neural network structure
- lyapunov function
- backpropagation algorithm
- objective function
- feed forward
- fault diagnosis
- real time
- robot manipulators
- back propagation
- adaptive neural
- fuzzy systems
- hopfield neural network
- dynamical systems
- recurrent neural networks
- fuzzy control