A simplified NARMAX method using nonlinear input-output data

被引：0
|
作者：
Jie CHEN 1
2.China Institute No. 23 of Second Academy
机构：
来源：
Control Theory and Technology | 2007年 / 03期
关键词：
System identification; Nonlinear system; ARMA models; Parameter estimation;
D O I：
暂无
中图分类号：
N945.14 [系统辨识];
学科分类号：
071102 ;
摘要：
A system identification method for nonlinear systems with unknown structure is presented using short input-output data. The method simplifies the original NARMAX method. It introduces more general model structures for nonlinear systems. The group method of data handling (GMDH) method is employed to obtain the model terms and parameters. Effectiveness of the proposed method is illustrated by a typical nonlinear system with unknown structure and deficient input-output data.
引用
收藏
页码：261 / 265
页数：5
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