Adaptive nonlinear backstepping control using mended recurrent Romanovski polynomials neural network and mended particle swarm optimization for switched reluctance motor drive system.
Chih-Hong LinPublished in: Trans. Inst. Meas. Control (2019)
Keyphrases
- adaptive neural
- nonlinear systems
- neural network
- particle swarm optimization
- feed forward
- adaptive control
- adaptive fuzzy
- recurrent neural networks
- adaptive controller
- nonlinear dynamic systems
- control law
- control strategy
- lyapunov function
- lyapunov stability theory
- controller design
- sliding mode control
- internal model control
- lyapunov theory
- nonlinear dynamics
- control method
- fuzzy systems
- control system
- neural network model
- closed loop
- multi objective
- highly nonlinear
- fuzzy rules
- inverted pendulum
- pso algorithm
- artificial neural networks
- single neuron
- fuzzy logic
- back propagation
- neural model
- nonlinear functions
- differential evolution
- fuzzy control
- optimal control
- fuzzy model
- auto associative
- global optimization
- fuzzy controller
- evolutionary algorithm
- particle swarm optimization algorithm
- weight update
- genetic algorithm