Fuzzy controller parameters optimization by using genetic algorithm for the control of inverted pendulum
Khayreddine Saidi, Mourad Allad · 2015
In this paper, hybridization between two artificial intelligence techniques is proposed for the control of inverted pendulum. The controller combines a genetic algorithms technique optimization with fuzzy logic controller. We employ this procedure in a genetic algorithm (GA) to search for the optimal parameters (gains) of fuzzy logic controller. Numerical simulations verify the validity of the proposed control strategy.