Model order reduction using fuzzy logic algorithm

Abstract

Model order reduction has been one of the most challenging topics in the past years. Conventional mathematical methods have been used to obtain a reduced order model of high order complex models. In this paper, fuzzy logic algorithm, which is one of the artificial intelligence algorithms, is used in model order reduction. Fuzzy logic algorithm is considered as one of the evolutionary techniques, which are used in optimization problems. In our proposed approach, fuzzy algorithm is used in model order reduction taking in consideration improving the accuracy and preserving the basic properties of the original model. The obtained reduced order model has an acceptable error compared to the original model. Also the algorithm does not take large amount of time when evaluating the reduced model.