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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2518-1092</journal-id><journal-title-group><journal-title>Research result. Information technologies</journal-title></journal-title-group><issn pub-type="epub">2518-1092</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2518-1092-2020-5-1-0-1</article-id><article-id pub-id-type="publisher-id">1981</article-id><article-categories><subj-group subj-group-type="heading"><subject>INFORMATION SYSTEM AND TECHNOLOGIES</subject></subj-group></article-categories><title-group><article-title>MODELING THE ERROR ESTIMATION PROCESS WHEN IMPLEMENTING THE METHOD OF INDIVIDUAL FORECASTING</article-title><trans-title-group xml:lang="en"><trans-title>MODELING THE ERROR ESTIMATION PROCESS WHEN IMPLEMENTING THE METHOD OF INDIVIDUAL FORECASTING</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Sansevich</surname><given-names>Valery Konstantinovich</given-names></name><name xml:lang="en"><surname>Sansevich</surname><given-names>Valery Konstantinovich</given-names></name></name-alternatives></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Bezruchko</surname><given-names>Valerij Vladimirovich</given-names></name><name xml:lang="en"><surname>Bezruchko</surname><given-names>Valerij Vladimirovich</given-names></name></name-alternatives><email>vlvd@mail.ru</email></contrib></contrib-group><pub-date pub-type="epub"><year>2020</year></pub-date><volume>5</volume><issue>1</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/information/2020/1/ИТ_1.pdf" /><abstract xml:lang="ru"><p>The article deals with the issues of computer modeling of the formation of error in forecasting the state of the object of control. To analyze the process of error formation in the implementation of forecasting methods, the main stages of solving this problem are highlighted. The structural and functional organization of forecasting the state of the object of control is presented. A model of error generation in solving the forecasting problem in an automated technical condition control system has been developed. The simulation was performed according to the developed algorithm for estimating errors in the implementation of the method of individual forecasting. Based on the simulation results, analytical dependences of the random component of the prediction error on the length of the prehistory taken into account and the noise level of the ideal trend are established.</p></abstract><trans-abstract xml:lang="en"><p>The article deals with the issues of computer modeling of the formation of error in forecasting the state of the object of control. To analyze the process of error formation in the implementation of forecasting methods, the main stages of solving this problem are highlighted. The structural and functional organization of forecasting the state of the object of control is presented. A model of error generation in solving the forecasting problem in an automated technical condition control system has been developed. The simulation was performed according to the developed algorithm for estimating errors in the implementation of the method of individual forecasting. Based on the simulation results, analytical dependences of the random component of the prediction error on the length of the prehistory taken into account and the noise level of the ideal trend are established.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>predictive control</kwd><kwd>minimax principle</kwd><kwd>guaranteed prediction method</kwd><kwd>prediction error</kwd></kwd-group><kwd-group xml:lang="en"><kwd>predictive control</kwd><kwd>minimax principle</kwd><kwd>guaranteed prediction method</kwd><kwd>prediction error</kwd></kwd-group></article-meta></front><back /></article>