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模糊树模型及其在复杂系统辨识中的应用
引用本文:张建刚,毛剑琴,夏天,魏可惠.模糊树模型及其在复杂系统辨识中的应用[J].自动化学报,2000,26(3):378-381.
作者姓名:张建刚  毛剑琴  夏天  魏可惠
作者单位:1.北京航空航天大学第七研究室,北京;
摘    要:基于二叉树和模糊逻辑理论,提出了一种用于复杂系统建模的模糊树模型.将线性 模型和模糊集组织在树结构上,并给出了更新线性模型系数和模糊集隶属度函数的混合算 法.与其他建模方法相比,如ANFIS,模糊树模型计算量小,精度高,尤其在高维数据建模中 更为明显.仿真结果描述了这种方法的性能.

关 键 词:模糊树模型    分段线性自适应滤波器ANFIS
收稿时间:1998-3-9
修稿时间:1998-03-09

FUZZY-TREE MODEL AND ITS APPLICATIONS TO COMPLEX SYSTEM MODELING
ZHANG Jiangang,MAO Jianqin,XIA Tian,WEI Kehui.FUZZY-TREE MODEL AND ITS APPLICATIONS TO COMPLEX SYSTEM MODELING[J].Acta Automatica Sinica,2000,26(3):378-381.
Authors:ZHANG Jiangang  MAO Jianqin  XIA Tian  WEI Kehui
Affiliation:1.The Seventh Division,Beijing University of Aeronautics&Astronautics,Beijing;Academy of Engineering Physics,Chengdu
Abstract:Based on the binary tree structure and fuzzy logic theory,a fuzzy-tree model applied to complex system modeling is proposed in this paper.Linear models and fuzzy sets are arranged in a tree structure.A hybrid-training algorithm is used to update linear model coefficients and membership functions of the fuzzy sets.Compared with some other modeling methods,such as ANFIS,the proposed model is of less computation,higher accuracy,especially for high dimension data modeling.Simulation results demonstrate the advantages of this approach.
Keywords:Fuzzy-tree model  piecewise linear adaptive filter  ANFIS  
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