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一种复杂系统的模糊模型结构及递推辨识方法
引用本文:刘军,许晓鸣.一种复杂系统的模糊模型结构及递推辨识方法[J].上海交通大学学报,1999,33(11):1439-1442.
作者姓名:刘军  许晓鸣
作者单位:上海交通大学自动化研究所上海200030
摘    要:提出了一种复杂系统的模糊模型结构及辨识方法.该模糊模型利用系统的输入和输出数据,将输入和输出空间视为模糊空间.根据辨识精度将模糊空间划分为m 个子空间,每个子空间由线性模型来表征.由隶属函数将子空间模型联接成全局模型来表征系统的整体特性.隶属函数和子空间的模型参数由递推辨识方法实现.仿真结果表明,这种模型结构可以表达复杂系统的特征和辨识算法的有效性

关 键 词:局部线性模型  模糊子空间  递推辨识
文章编号:1006-2467(1999)11-1439-04
修稿时间:1998年10月9日

Fuzzy Model Structure of Complex Systems and Its Recursive Identification Method
LIU Jun,XU Xiao ming Inst. of Automation,Shanghai Jiaotong Univ.,Shanghai ,China.Fuzzy Model Structure of Complex Systems and Its Recursive Identification Method[J].Journal of Shanghai Jiaotong University,1999,33(11):1439-1442.
Authors:LIU Jun  XU Xiao ming Inst of Automation  Shanghai Jiaotong Univ  Shanghai  China
Institution:LIU Jun,XU Xiao ming Inst. of Automation,Shanghai Jiaotong Univ.,Shanghai 200030,China
Abstract:A fuzzy model structure of a complex system and its identification method were proposed. The input and output spaces are viewed as fuzzy spaces, which is divided into m fuzzy subspaces according to the identification precision. Every subspace is expressed by a linear model. The membership function and the parameter of the subspaces are identified by recursion identification method using input output data. The simulation result demonstrates that the presented model structure can express complicated systems and the identification method is very effective.
Keywords:local linear model  fuzzy subspace  recursive identification
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