Adaptive system of identification applied to stochastic models of industrial processes

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Authors: Korikov A. M., Sergeev V. L., Sevostyanov D. V., Sergeev P. V., Anikanov A. S.

Annotation: The paper analyzes the approach to automatic system of identification for industrial processes under conditions of uncertainty. The approach incorporates a-priori data, forecasts given by experts, internal and external factors. The work includes examples of designing system of identification for product life cycle model and model used in the tests of hydrodynamic oil wells.

Keywords: identification, forecast, adaptation, a-priory data, integrated model systems, life cycle, hydrodynamic tests, oil fields