Abstract
For the class of discreet stochastic dynamic systems with additive noise, advances of the theory of parametric regulation were presented. Efficiency of their use was demonstrated by way of the example of a stochastic computable model of general equilibrium of the major industries.
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Samarskii, A.A. and Mikhailov, A.P., Matematicheskoe modelirovanie: Idei. Metody. Primery (Mathematical Modeling: Concepts, Methods, Examples), Moscow: Fizmatlit, 2002.
Ashimov, A.A., Sultanov, B.T., Adilov, Zh.M., et al., Makroekonomicheskii analiz i ekonomicheskaya politika na baze parametricheskogo regulirovaniya (Macroeconomic Analysis and Economic Policy Based on Parametric Regulation), Moscow: Fizmatlit, 2010.
Makarov, V.L., Bakhtizin, A.R., and Sulakshin, S.S., Primenenie vychislimykh modelei v gosudarstvennom upravlenii (Using Computing Models in the Governmental Control), Moscow: Nauchnyi Ekspert, 2007.
Nelder, J.A. and Mead, R., A Simplex Method for Function Minimization, Comput. J., 1965, vol. 7, pp. 308–313.
Tumanova, E.S. and Shagas, N.A., Makroekonomika (Macroeconomics), Moscow: Infra-M, 2004.
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Original Russian Text © A.A. Ashimov, As.A. Ashimov, Yu.V. Borovskii, D.A. Novikov, S.Ya. Serovaiskii, B.T. Sultanov, 2012, published in Avtomatika i Telemekhanika, 2012, No. 7, pp. 55–66.
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Ashimov, A.A., Ashimov, A.A., Borovskii, Y.V. et al. Elements of the theory and methods of parametric regulation of national economy’s evolution using discrete dynamic stochastic models. Autom Remote Control 73, 1156–1164 (2012). https://doi.org/10.1134/S0005117912070053
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DOI: https://doi.org/10.1134/S0005117912070053