Data-driven Response Prediction for Systems with Nonlinear Elements

被引：0
|
作者：
Katoy, Shuichi [1 ]
Wakasa, Yuji [1 ]
Adachi, Ryosuke [1 ]
机构：
[1] Yamaguchi Univ, Grad Sch Sci & Technol Innovat, Ube, Japan
来源：
2021 60TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE) | 2021年
关键词：
Data-driven approach; response prediction; nonlinear element;
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：
This paper extends a data-driven response prediction method for linear systems into systems with nonlinear elements. By using two sets of measured input and output data, unknown parameters in models of nonlinear elements are tuned so that a residual related to a linear equation for linear systems is minimized. The effectiveness of the proposed method is illustrated through simulation results for some nonlinear elements and experimental results with a DC motor control system.
引用
收藏
页码：1055 / 1060
页数：6
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