Optimum input test signals for system identification—an information-theoretical approach
作者:
S. ARIMOTO,
H. KIMURA,
期刊:
International Journal of Systems Science
(Taylor Available online 1971)
卷期:
Volume 1,
issue 3
页码: 279-290
ISSN:0020-7721
年代: 1971
DOI:10.1080/00207727108910011
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
This paper is concerned with a problem of choosing optimum input test signals for estimating response functions or transfer functions of discrete-time systems. Under the amplitude constraint of signals and some additional appropriate assumptions it is shown that, in the case of identifying response functions, a pseudorandom binary sequence of input signals with as small correlations as possible is optimum in the sense that it maximizes a quantity of information provided by measurements. In the case of estimating unknown coefficients of transfer functions, an optimum scheme of step-by-step choice of input signals is proposed.
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