Fuzzy logic controller for an inverted pendulum system using quantum genetic optimization

Abstract

In this paper, we propose a new generalized design methodology of intelligent robust fuzzy control systems based on quantum genetic algorithm (QGA) called quantum fuzzy model that enhance robustness of fuzzy logic controllers. The QGA is adopted because of their capabilities of directed random search for global optimization to find the parameters of the… (More)

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@article{Shill2011FuzzyLC, title={Fuzzy logic controller for an inverted pendulum system using quantum genetic optimization}, author={Pintu Chandra Shill and M. A. H. Akhand and Kazuyuki Murase}, journal={14th International Conference on Computer and Information Technology (ICCIT 2011)}, year={2011}, pages={503-508} }