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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Print: 1064-2315
ISSN Online: 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

ABSTRACT

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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