Identification of multivariable interval dynamic model from measurements in frequency domain

被引：0
|
作者：
Zhang, YM
Kovacevic, R
Yao, YX
机构：
来源：
PROCEEDINGS OF THE 1997 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 1997年
关键词：
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：
Frequently the manufacturing processes can not be accurately described using a model with certain parameters. Interval models for which the parameters are within certain intervals may be more effective in describing such processes. In this paper, an algorithm is proposed to identify interval models of multivariable systems from the measurements in the frequency domain. The intervals are minimized with the membership constraints. The numerical aspects for implementing the proposed algorithm are also addressed. Simulation examples are given to show the effectiveness of the proposed algorithm.
引用
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页码：1939 / 1943
页数：5
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