Identification and control based on Sugeno's fuzzy model

被引：0
|
作者：
Li, Shaoyuan
Wang, Qunxian
Li, Huanzhi
Chen, Zengqiang
Yuan, Zhuzhi
机构：
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 1999年 / 25卷 / 04期
关键词：
Control theory - Identification (control systems) - Nonlinear control systems;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new identification method of Sugeno's fuzzy model and parallel design for nonlinear system control were presented. In Sugeno's system identification, the premise identification can be separated from the consequential identification by fuzzy cluster method to simplify the calculation. In fact, the Sugeno's fuzzy model is a local linear model of the dynamical nonlinear control system, A parallel design method was proposed, and the total control law can be obtained by fuzzy inference. An inverted pendulum system control example was given to show the effectiveness.
引用
收藏
页码：488 / 492
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