A self-learning and tuning fuzzy logic controller based on genetic algorithms and reinforcements.
Hung-Yuan ChungChih-Kuan ChiangPublished in: Int. J. Intell. Syst. (1997)
Keyphrases
- fuzzy logic controller
- fuzzy logic
- genetic algorithm
- parameter tuning
- tuning parameters
- fuzzy controller
- intelligent control
- genetic algorithm ga
- rule base
- control algorithm
- neural network
- fuzzy rules
- input output
- pi controller
- fuzzy rule based systems
- controller design
- control system
- evolutionary computation
- matlab simulink
- fitness function
- simulated annealing
- multi objective
- parameter settings
- pid controller
- fuzzy systems
- decision making
- membership functions
- optimization method
- induction motor
- proportional integral derivative
- soft computing
- artificial intelligence
- expert systems
- fuzzy sets
- machine learning
- dc motor
- artificial neural networks
- evolutionary algorithm
- rough sets
- back propagation
- scaling factors
- control strategies
- fault diagnosis
- knowledge base
- radial basis function
- fuzzy control
- control strategy