Automated Modelization of Dynamic Systems

Nowadays, different kinds of modelling settled down in most areas of human activities. Often, it is not easy to design and create a model of an existing systems, because equations linking its components are not known. This article describes an approach allowing to identify system components interact...

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Main Authors:	Ivan Perl, Aleksandr Penskoi
Format:	Article
Language:	English
Published:	FRUCT 2018-11-01
Series:	Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:	System Dynamics Modelization Model oriented development Machine learning Approximation Experimental data
Online Access:	https://fruct.org/publications/abstract23/files/Per.pdf

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spelling	doaj-7364343488e74fcc8df09ed2243f163e2020-11-24T20:44:36ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372018-11-0160223510516Automated Modelization of Dynamic SystemsIvan Perl0Aleksandr Penskoi1ITMO University, Saint-Petersburg, RussiaITMO University, Saint-Petersburg, RussiaNowadays, different kinds of modelling settled down in most areas of human activities. Often, it is not easy to design and create a model of an existing systems, because equations linking its components are not known. This article describes an approach allowing to identify system components interaction based on run-time monitoring and analysis of system behavior. Described method is shown on a simple system that will be turned in to a system dynamics mode by automated equations deﬁnition and results will compared to initial analytic model for the same system.https://fruct.org/publications/abstract23/files/Per.pdf System DynamicsModelizationModel oriented developmentMachine learningApproximationExperimental data
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Ivan Perl Aleksandr Penskoi
spellingShingle	Ivan Perl Aleksandr Penskoi Automated Modelization of Dynamic Systems Proceedings of the XXth Conference of Open Innovations Association FRUCT System Dynamics Modelization Model oriented development Machine learning Approximation Experimental data
author_facet	Ivan Perl Aleksandr Penskoi
author_sort	Ivan Perl
title	Automated Modelization of Dynamic Systems
title_short	Automated Modelization of Dynamic Systems
title_full	Automated Modelization of Dynamic Systems
title_fullStr	Automated Modelization of Dynamic Systems
title_full_unstemmed	Automated Modelization of Dynamic Systems
title_sort	automated modelization of dynamic systems
publisher	FRUCT
series	Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn	2305-7254 2343-0737
publishDate	2018-11-01
description	Nowadays, different kinds of modelling settled down in most areas of human activities. Often, it is not easy to design and create a model of an existing systems, because equations linking its components are not known. This article describes an approach allowing to identify system components interaction based on run-time monitoring and analysis of system behavior. Described method is shown on a simple system that will be turned in to a system dynamics mode by automated equations deﬁnition and results will compared to initial analytic model for the same system.
topic	System Dynamics Modelization Model oriented development Machine learning Approximation Experimental data
url	https://fruct.org/publications/abstract23/files/Per.pdf
work_keys_str_mv	AT ivanperl automatedmodelizationofdynamicsystems AT aleksandrpenskoi automatedmodelizationofdynamicsystems
_version_	1716816839040827392

Automated Modelization of Dynamic Systems

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