Piroska Gyongyi Ailer

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The performance of a fuzzy controller is determined in a great amount by the underlying rule base. In this paper, we present tuning methods implemented in our rule base identification and tuning toolbox. The toolbox is easy-to-use Matlab based software with graphical user interface. All the implemented tuning methods support the creation of low complexity(More)
This paper proposes a Particle Swarm Optimization (PSO) based tuning for fuzzy controllers. The applicability of the proposed solution is demonstrated by tuning a simple fuzzy cruise control. The algorithm is used for the tuning of the input-output gains as well as the tuning of the sets included into the consequent parts of the fuzzy rules. The results are(More)
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