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Model order reduction using fuzzy logic algorithm

机译：使用模糊逻辑算法的模型降阶

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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.
机译：减少模型订单已成为过去几年中最具挑战性的主题之一。常规数学方法已用于获得高阶复杂模型的降阶模型。本文将模糊逻辑算法（一种人工智能算法）用于模型降阶。模糊逻辑算法被认为是用于优化问题的进化技术之一。在我们提出的方法中，考虑到提高精度并保留原始模型的基本属性，将模糊算法用于模型降阶。与原始模型相比，所获得的降阶模型具有可接受的误差。同样，在评估简化模型时，该算法不会花费大量时间。

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