一种简化的区间二型模糊系统辨识方法

发布时间：2018-10-24 06:57

【摘要】：KM降阶算法是目前区间二型模糊集合常用的降阶算法,针对其效率低、难以用于实时辨识与控制的缺点,提出了一种简化的区间二型模糊系统辨识方法。该方法采用二型T-S模糊模型,前件参数为区间二型模糊集合,后件参数为普通T-S模糊模型形式。二型T-S模糊模型的解模糊化采用简化的降阶算法,提高了模型的辨识效率,可用于实时辨识与控制。仿真实例表明,所提算法在不降低辨识精度的情况下能够有效提高辨识效率。
[Abstract]:KM order reduction algorithm is a commonly used order reduction algorithm for interval type 2 fuzzy sets. In view of its low efficiency and difficulty in real-time identification and control, a simplified identification method for interval type 2 fuzzy systems is proposed. The second type T-S fuzzy model is used in this method. The former part parameter is interval type 2 fuzzy set, the latter part parameter is ordinary T-S fuzzy model form. The de-fuzzification of the second type T-S fuzzy model adopts a simplified order reduction algorithm, which improves the identification efficiency of the model and can be used for real-time identification and control. Simulation results show that the proposed algorithm can effectively improve the identification efficiency without reducing the identification accuracy.
【作者单位】：天津现代职业技术学院;
【分类号】：O159

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