Order estimation for linear time-invariant systems using frequency domain identification methods

被引：17
|
作者：
Rolain, Y
Schoukens, J
Pintelon, R
机构：
[1] Department ELEC/TW, Vrije Universiteit Brussels
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1997年 / 42卷 / 10期
关键词：
model selection; system identification;
D O I：
10.1109/9.633829
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 two-step coarse-fine order estimation technique is proposed to determine the order of the numerator and the denominator polynomials of rational transfer function models for single-input/single-output (SISO) linear time-invariant systems. The coarse order estimation is based on rank detection by verification of the stochastic significance of the singular values of a linearized problem. The fine order estimation is based on a statistical analysis of the maximum likelihood cost function. The method is tested on measurements of low- (4 zeros, 6 poles) and high- (58 poles, 58 zeros) order systems.
引用
收藏
页码：1408 / 1417
页数：10
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