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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Печать: 1064-2315
ISSN Онлайн: 2163-9337

Выпуски:
Том 51, 2019 Том 50, 2018 Том 49, 2017 Том 48, 2016 Том 47, 2015 Том 46, 2014 Том 45, 2013 Том 44, 2012 Том 43, 2011 Том 42, 2010 Том 41, 2009 Том 40, 2008 Том 39, 2007 Том 38, 2006 Том 37, 2005 Том 36, 2004 Том 35, 2003 Том 34, 2002 Том 33, 2001 Том 32, 2000 Том 31, 1999 Том 30, 1998 Том 29, 1997 Том 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v31.i1-3.360
pages 111-117

Algorithms of Identification of Monitored Objects

E. N. Litvinov
National Technical University "Kiev Polytechnical Institute", Ukraine
A. V. Perveev
National Technical University "Kiev Polytechnical Institute", Ukraine
Alexander A. Stenin
National Technical University of Ukraine "Igor Sikorsky Kiev Polytechnic Institute", Kiev

Краткое описание

An advanced method and algorithms are presented for modeling and estimation by the adaptive Kalman filtering of the state, parameters, input, and boundary conditions of one class of parabolic stochastic distributed objects. Results of their testing in simulation experiments are discussed. Possibilities of the use of the presented results for solution of a wide range of problems of identification of monitored objects are described.

Ключевые слова: identification, Kalman filtering, monitoring

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