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Industrial Automatic Control Systems and Controllers

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Correlation Synthesis of Discrete Predictions Filter
N.R. Yusupbekov, Sh.M. Gulyamov, F.A. Ergashev, M.A. Rasuleva

Objective of enhancing the effectiveness of the automated systems of operatively-dispatching management of complex chemical-technological processes in real time based on the algorithms of short-term forecasting of parameters of management objects and procedures, multi-step dynamic fi ltering is formulated. It is proved, that the task of operational characteristics prediction of chemical-technological processes can be reduced to linear filtering tasks and extrapolation of random signals. It is shown that in the case of a priori specified linear mathematical models of chemical-technological processes and systems are effective in terms of the accuracy of the forecasts is the optimal adaptive Kalmanovsky fi lter type.
Keywords: linear fi ltering of stochastic processes; short-term forecasting extrapolation; prediction fi lter; optimal prediction.

Contacts: E-mail: qwerty0409@mail.ru, E-mail: shukhrat.gulyamov@mail.ru, E-mail: akb-81@mail.ru

Pp. 20-24.

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