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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN 印刷: 1064-2315
ISSN オンライン: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v31.i7-9.70
pages 40-43

Adaptive Correction of Regulator Problem

Igor V. Zhukovitskiy
Dnepropetrovsk State Technical University of Railway Transport, Ukraine

要約

The technique of determining the optimum values of the amendment based on evaluated regulation error has been considered for the stationary systems with unknown but constant statistical errors of regulations.


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