A LINEAR INTERPOLATORY ALGORITHM FOR ROBUST SYSTEM-IDENTIFICATION WITH CORRUPTED MEASUREMENT DATA

被引：3
作者：
BAI, EW
RAMAN, S
机构：
[1] Department of Electrical and Computer Engineering, University of Iowa, Iowa City
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1993年 / 38卷 / 08期
关键词：
D O I：
10.1109/9.233158
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 note presents a linear, robustly convergent interpolatory algorithm for system identification in the presence of bounded noise. The proposed algorithm converges to the actual, but unknown system in frequency domain in the noise free case and maintains the robust convergence result in the face of bounded noise. This robustness property distinguishes the proposed linear algorithm from other existing linear schemes. A key idea of this robust linear algorithm is that 1) the approximation is separated into two components: real and imaginary parts and 2) Fejer (Hermite) interpolation. Because of the Fejer interpolation, the data points are required at the Chebyshev points.
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页码：1236 / 1241
页数：6
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