Open AccessChange Point Detection of Sustainable Periods of Economic Systems Under the Robust Control
Author(s) -
C. Е. Хрущев,
М. А. Алексеев,
О. М. Логачёва
Publication year - 2019
Publication title -
voprosy statistiki
Language(s) - English
Resource type - Journals
eISSN - 2658-5499
pISSN - 2313-6383
DOI - 10.34023/2313-6383-2019-26-2-27-36
Subject(s) - benchmark (surveying) , computer science , gaussian , econometrics , change detection , series (stratigraphy) , limit (mathematics) , control theory (sociology) , mathematical optimization , control (management) , point (geometry) , time series , mathematics , statistics , artificial intelligence , paleontology , mathematical analysis , physics , geometry , geodesy , quantum mechanics , biology , geography
This article addresses the potential of mathematical and statistical modelling the change point detection in economic systems on the example of UC «RUSAL». Change point prediction of stable or quasi-stable periods of economic systems is necessary for the operational changing of a strategy, tactics and control of the considered economic system. It solves one of the robust control problems, the purpose of which is the synthesis of the regulator that can provide the preservation of output variables of the system within the robust limit for all types of membership functions and the uncertainty of the input data. The developed algorithm is based on the study of the behavior of residuals of regression models by the observed series of the dynamics of some exponent (as a benchmark was chosen the price of ordinary share). This algorithm is applicable for small volume samples, which, as a rule, are the series of dynamics of exponents of economic systems and also, in the study of non-Gaussian observational models.