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Расчет начального приближения при параметрической идентификации математических моделей статических режимов сложных технологических систем

Расчет начального приближения при параметрической идентификации математических моделей статических режимов сложных технологических систем

Abstract

The examples of modeled on module principle of mathematical models for static modes of some technological system are given. The possibility of solving the problem of models parametrical identification under various systems of technological processes control is analyzed. It is shown that the initial task of model identification of complex system, which is traditionally regarded as rather complicated one, can be carried out by solving a set of simpler tasks of separate modules and their complexes identification.

Приведены примеры построенных по модульному принципу математических моделей статических режимов некоторой технологической системы. Проанализирована возможность решения задачи параметрической идентификации моделей при различных системах контроля технологического процесса. Показано, что исходная задача идентификации модели сложной системы, традиционно являющаяся весьма трудоемкой, может быть сведена к решению совокупности более простых задач идентификации отдельных модулей и их комплексов.

Keywords

АДЕКВАТНОСТЬ МОДЕЛИ, ГРАФ МОДЕЛИ, МАТЕМАТИЧЕСКАЯ МОДЕЛЬ СТАТИКИ, МОДУЛЬ АППАРАТА, НАСТРОЕЧНЫЕ ПАРАМЕТРЫ, ПАРАМЕТРИЧЕСКАЯ ИДЕНТИФИКАЦИЯ МОДЕЛИ, СЛОЖНАЯ ТЕХНОЛОГИЧЕСКАЯ СИСТЕМА, ТЕХНОЛОГИЧЕСКИЙ АППАРАТ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold