Rational basis functions for robust identification from frequency and time-domain measurements

被引:62
|
作者
Akcay, H
Ninness, B
机构
[1] Feza Gursey Inst, TR-81220 Istanbul, Turkey
[2] Univ Newcastle, Ctr Integrated Dynam & Control, Newcastle, NSW 2308, Australia
[3] Univ Newcastle, Dept Elect & Comp Engn, Newcastle, NSW 2308, Australia
基金
澳大利亚研究理事会;
关键词
identification; estimation; worst-case analysis; error analysis; robustness;
D O I
10.1016/S0005-1098(98)00052-1
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 investigates the use of general bases with fixed poles for the purposes of robust estimation. These bases, which generalise the common FIR, Laguerre and two-parameter Kautz ones, are shown to be Fundamental in the disc algebra provided a very mild condition on the choice of poles is satisfied. It is also shown that, by using a min-max criterion, these bases lead to robust estimators for which error bounds in different norms can be explicitly quantified. The key idea facilitating this analysis is to re-parameterise the chosen model structures into a new one with equivalent fixed poles, but for which the basis functions are orthonormal in H-2(D). (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
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页码:1101 / 1117
页数:17
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