Spectral observers for unevenly sampled data

被引：0

作者：

Molnar, K. ^{[1
]}

Peceli, G. ^{[1
]}

机构：

[1] Budapest Univ Technol & Econ, H-1521 Budapest, Hungary

来源：

2007 IEEE INSTRUMENTATION & MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-5 | 2007年

关键词：

observers; signal sampling; spectral analysis; discrete Fourier transforms;

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 investigates the problem of spectral observation in case of unevenly sampled input data. In [1] Hostetter proposed a dead-beat observer structure and an algorithm to calculate the observer gain values online. In this paper we give a formal proof of correctness of this algorithm and we also propose an efficient numerical method to reduce the amount of computations required by the algorithm. Moreover, we show a significantly more efficient solution of spectral observation for a special case of uneven sampling, namely when the sampling time instants are uneven but periodic.

引用

页码：1376 / 1381

页数：6

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