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模糊聚类辨识算法
引用本文:邓 辉,孙增圻,孙富春.模糊聚类辨识算法[J].控制理论与应用,2001,18(2):171-175.
作者姓名:邓 辉  孙增圻  孙富春
作者单位:清华大学计算机系智能技术及系统国家重点实验室!北京100084
摘    要:采用模糊输入聚类算法来辨识系统的模型,通过两个模糊聚类准则函数求得聚类中心和模糊规则数,然后求出各个子窨支态模型,再用隶属函数光滑地把他们连接成一个全局动态模糊模型,这种模型可以转化成状态空间模型,从而进行控制器的设计和稳定性分析。

关 键 词:模糊聚类  T-S模型  系统辨识  算法  隶属函数
文章编号:1000-8152(2001)02-0171-05
收稿时间:1999/5/17 0:00:00
修稿时间:1999年5月17日

The Fuzzy Cluster Identification Algorithm
DENG Hui,SUN Zeng-qi and SUN Fu-chun.The Fuzzy Cluster Identification Algorithm[J].Control Theory & Applications,2001,18(2):171-175.
Authors:DENG Hui  SUN Zeng-qi and SUN Fu-chun
Affiliation:1. State Key Lab of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University * Beijing, 100084,P.R.China
2. State Key Lab of Intelligent Technology and Systems, Department of Computer Science and Technology,
Abstract:This paper identifies the model with fuzzy input type cluster algorithm. Firstly, get the fuzzy cluster center and fuzzy rule numbers with solving two fuzzy cluster objective function, then get every fuzzy local dynamic model, at last, use the membership functions to smoothly connect the local models together to form a global system model. This kind of fuzzy model can be transformed into the state space so that many stability analysis methods and controller design can be realized.
Keywords:fuzzy cluster  T  S model  identification
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