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基于指数型隶属函数的非线性模糊模型的辨识方法
The Identification Method of T-S Fuzzy Model Based on Exponent Function Partition
【摘要】 该文给出了一种新的模糊集构成方法。用指数函数构成的模糊集满足测量准则,对指数函数模糊集的凸凹性、多态性进行了深入分析,并将其应用到T-S模糊模型的辨识中。最后,通过仿真试验,选择出最适合的模糊集。
【Abstract】 A new method of constituting fuzzy set is given in this paper.The fuzzy set is constituted by exponent function which is satisfied with measure rule.This paper analyzes deeply the convex property and concave property and multiform property of exponent function fuzzy set.And is also applied in the identification of T-S fuzzy model that using exponent function fuzzy set.At the end,the fittest fuzzy set is confirmed by simulation experiments.
【关键词】 指数函数;
模糊集形状;
凸凹性;
多态性;
模糊辨识;
【Key words】 exponent function; shape of fuzzy set; convex and concave property; multiform property; fuzzy identification;
【Key words】 exponent function; shape of fuzzy set; convex and concave property; multiform property; fuzzy identification;
【基金】 国家自然科学基金资助项目:基于未确知集合理论的故障诊断方法研究(编号:60474019)
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2005年10期
- 【分类号】O159
- 【被引频次】4
- 【下载频次】189