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自动化与信息科学期刊
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN 打印: 1064-2315
ISSN 在线: 2163-9337

卷:
卷 52, 2020 卷 51, 2019 卷 50, 2018 卷 49, 2017 卷 48, 2016 卷 47, 2015 卷 46, 2014 卷 45, 2013 卷 44, 2012 卷 43, 2011 卷 42, 2010 卷 41, 2009 卷 40, 2008 卷 39, 2007 卷 38, 2006 卷 37, 2005 卷 36, 2004 卷 35, 2003 卷 34, 2002 卷 33, 2001 卷 32, 2000 卷 31, 1999 卷 30, 1998 卷 29, 1997 卷 28, 1996

自动化与信息科学期刊

DOI: 10.1615/JAutomatInfScien.v48.i6.40
pages 39-48

Learning Decision Making Support System for Control of Nonstationary Technological Process

Anatoliy S. Dovbysh
Sumy State University, Ukraine
Vyacheslav V. Moskalenko
Sumy State University, Sumy
Alyona S. Rizhova
Sumy State University, Sumy

ABSTRACT

The algorithm of the time-spatial parameters optimization of functioning information-extreme decision making support system for control of nonstationary technological process is considered. Determination of boundaries of quasi-stationary time intervals of weakly formalized process observation using normalized statistics for occurrence of values of recognition features in appropriative receptive fields is proposed.

REFERENCES

  1. Antsaklis P.J., Passino K.M., An introduction to intelligent and autonomous control, Kluwer Academic Publishers, Norwell, Massachusetts, USA, 1992.

  2. Bhagat P., Pattern recognition in industry, Elsevier Science, Amsterdam, Netherlands, 2005.

  3. Moskalenko V.V. Dovbysh A.S., Rizhova A.S., Intellectual automated control system with optimization of time parameters of input data analysis, Visnyk Sumskogo derzhavnogo universytetu, 2013, No. 3, 7–14.

  4. Lecoeuche S., Mercere G., Amadou-Boubacar H., Modeling of nonstationary systems based on a dynamical decision space, 14-th IFAC Symposium on System Identification, Newcastle, Australia, Elsevier Science, 2006, 1222–1227.

  5. Dovbysh A.S., Foundation of design of intellectual system: Textbook, Sumy State University, Ukraine, 2009.


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