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

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

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

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v28.i3-4.20
pages 7-15

Synthesizing the Mathematical Model of an Extremal Control Object by a Gedanken Complete Factor Experiment

Oleg V. Babak
International Research and Training Center of Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kyiv

ABSTRAKT

The problem of synthesizing a mathematical model of an extremal control object which is optimal in some sense from the data of a passive experiment is considered. It is shown that this problem can be reduced to a smooth extremal problem with an equality constraint that can be solved by the Lagrange method. A series of relationships that allow one to simplify the solution of the posed synthesis problem in practice is found.


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