【摘 要】
：
本文提出了一种基于参考模糊集的模糊模型辨识方法,探讨了模型结构和模糊关系的辨识问题.在隶属函数的定义上引入了优化算法,最终将辨识问题转化为优化问题.文中给出了具体的
【机 构】
：
浙江大学工业控制研究所,浙江大学工业控制研究所,浙江大学工业控制研究所 杭州,杭州,杭州
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本文提出了一种基于参考模糊集的模糊模型辨识方法,探讨了模型结构和模糊关系的辨识问题.在隶属函数的定义上引入了优化算法,最终将辨识问题转化为优化问题.文中给出了具体的辨识算法,仿真实例表明该模型辨识方法具有满意的精度.
In this paper, a fuzzy model identification method based on reference fuzzy sets is proposed, and the identification of model structure and fuzzy relation is discussed. An optimization algorithm is introduced into the definition of membership function, and finally the identification problem is transformed into an optimization problem. Specific identification algorithm, simulation examples show that the model identification method with satisfactory accuracy.
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