Admixed recurrent Gegenbauer polynomials neural network with mended particle swarm optimization control system for synchronous reluctance motor driving continuously variable transmission system.
Chih-Hong LinKuo-Tsai ChangPublished in: J. Syst. Control. Eng. (2020)
Keyphrases
- control system
- particle swarm optimization
- neural network
- fuzzy logic
- recurrent neural networks
- feed forward
- matlab simulation
- real time
- bp neural network
- pso algorithm
- closed loop
- genetic algorithm
- speed control
- back propagation
- recurrent networks
- dc motor
- artificial neural networks
- control strategy
- pid controller
- intelligent control
- control algorithm
- global optimization
- particle swarm optimization pso
- multi objective
- swarm intelligence
- differential evolution
- neural network model
- particle swarm optimization algorithm
- control scheme
- fuzzy control
- lyapunov theory
- fuzzy controller
- convergence speed
- particle swarm
- data transmission
- training algorithm
- neural network is trained
- control method
- induction motor
- neural nets
- multi unit combinatorial auctions
- ant colony optimization
- hidden layer
- associative memory
- multilayer perceptron
- fault diagnosis