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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.v50.i8.10
pages 1-15

Identification in Cognitive Maps in the Impulse Processes Mode with Full Information

Vyacheslav F. Gubarev
Institute of Space Research NAS and SSA of Ukraine, Kiev, Ukraine
Victor D. Romanenko
Educational-Scientific Complex of Institute for Applied System Analysis of National Technical University of Ukraine "Igor Sikorsky Kiev Polytechnic Institute", Kiev
Yuriy L. Milyavskiy
National Technical University of Ukraine "Igor Sikorsky Kiev Polytechnic Institute", Kiev

ABSTRACT

The problem of identification of weight coefficients of adjacent cognitive maps is investigated. A number of methods have been developed that allow one to estimate their values in deterministic or stochastic environment, with or without additional informa¬tion, and also under different parameters of identification algorithms. A practical study was conducted on the example of the cognitive map of the bank, which demonstrated limits of applicability and accuracy of each method.

REFERENCES

  1. Roberts F.S, Discrete mathematical models with applications to social, biological and environmental problems [in Russian], Nauka, Moscow, 1986.

  2. Romanenko V.D., Milyavsky Yu.L., Ensuring the stability of impulse processes in cognitive maps based on models in the state space, Sistemnyye issledovaniya i informatsionnyye tekhnologii, 2014, No. 2, 26–42.

  3. Gorelova G.V, Zakharova E.N., Radchenko S.A., Investigation of weakly structured problems of socio-economic systems. Cognitive approach [in Russian], Izdatelstvo RGU, Rostov-on-Don, 2006.

  4. Romanenko V.D., Milyavsky Yu.L., Reutov A.A., Adaptive control method for unstable impulse processes in cognitive maps based on reference model, Mezhdunarodnyi nauchno-tekhnicheskiy zhurnal “Problemy upravleniya i informatiki”, 2015, No. 2, 35-45.

  5. Zgurovsky M., Romanenko V., Milyavsky Y., Adaptive control of impulse processes in complex systems cognitive maps with multirate coordinates sampling, Advances in Dynamical Systems and Control, Studies in Systems, Decision and Control, 69, Springer International Publishing, Switzerland, 2016.

  6. Golub J., Van Lown Ch., Matrix computing [Russian translation], Mir, Moscow, 1999.

  7. Gubarev V.F., Melnychuk S.V., Guaranteed state estimation algorithms for linear systems in the presence of bounded noise, Mezhdunarodnyi nauchno-tekhnicheskiy zhurnal “Problemy upravleniya i informatiki”, 2015, No. 2, 26–35.

  8. Verhaegen М., Dewilde P., Subspace model identification. Part 1. The output-error state-space model identification class of algorithms, International Journal of Control, 1992, 56, No. 3, 1187–1210.

  9. Tikhonov A.N., Arsenin V.Ya., Methods for solving ill-posed problems [in Russian], Nauka, Moscow, 1979.

  10. Romanenko V.D, Milyavsky Yu.L., Adaptive coordinating control of the coordinates of the vertices of interacting cognitive maps in the regime of impulse processes, Sistemnyye issledovaniya i informatsionnyye tekhnologii, 2015, 3, No. 2, 109–120.


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