Artificial Bee Colony-Fuzzy Q Learning for Reinforcement Fuzzy Control (Truck Backer-Upper Control Problem).
Sima SaeedAliakbar NiknafsPublished in: Int. J. Uncertain. Fuzziness Knowl. Based Syst. (2016)
Keyphrases
- fuzzy control
- takagi sugeno
- fuzzy logic control
- fuzzy controller
- artificial bee colony
- control system
- control method
- fuzzy control systems
- reinforcement learning
- pid control
- fuzzy logic
- fuzzy logic controller
- control strategy
- internal model control
- fuzzy rules
- variable structure
- fuzzy systems
- dissolved oxygen
- nonlinear systems
- optimization algorithm
- pid controller
- differential evolution
- genetic algorithm ga
- swarm intelligence
- artificial bee colony algorithm
- fuzzy model
- pi controller
- input output
- control algorithm
- control scheme
- control parameters
- function approximation
- fuzzy sets
- multiobjective optimization
- computational intelligence
- multi objective
- membership functions
- learning algorithm
- fuzzy clustering
- closed loop
- learning rate
- mathematical model
- state space
- dynamic programming
- rule base
- soft computing
- rule sets
- artificial neural networks
- combinatorial optimization