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Asymptotology

About: Asymptotology is a research topic. Over the lifetime, 1319 publications have been published within this topic receiving 35831 citations.


Papers
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Proceedings ArticleDOI
Yucai Zhu1
01 May 2017
TL;DR: In this article, an asymptotically globally convergent Box-Jenkins model estimation algorithm is proposed for black-box model identification and an error-in-variables model identification using over-sampling scheme.
Abstract: The so-called asymptotic theory of Ljung (1985) gives an error description of identified black-box model in the frequency domain. Based on the theory the asymptotic method of identification has been developed and applied successively in industrial MPC control and PID tuning. In this work, new results that extend the asymptotic theory and method will be presented: (1) an asymptotically globally convergent Box-Jenkins model estimation algorithm; (2) errors-in-variables model identification; and (3) accurate model identification using over-sampling scheme.

3 citations

Book
01 Jan 1991

3 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20231
20222
20181
201725
201626
201526