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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Format: | Article |
Language: | English |
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FRUCT
2018-11-01
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Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
Subjects: | |
Online Access: | https://fruct.org/publications/abstract23/files/Per.pdf
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author | Ivan Perl Aleksandr Penskoi |
author_facet | Ivan Perl Aleksandr Penskoi |
author_sort | Ivan Perl |
collection | DOAJ |
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. |
first_indexed | 2024-12-22T21:44:58Z |
format | Article |
id | doaj.art-7364343488e74fcc8df09ed2243f163e |
institution | Directory Open Access Journal |
issn | 2305-7254 2343-0737 |
language | English |
last_indexed | 2024-12-22T21:44:58Z |
publishDate | 2018-11-01 |
publisher | FRUCT |
record_format | Article |
series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
spelling | doaj.art-7364343488e74fcc8df09ed2243f163e2022-12-21T18:11:31ZengFRUCTProceedings 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 |
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 |
title | 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_short | Automated Modelization of Dynamic Systems |
title_sort | automated modelization of dynamic systems |
topic | System Dynamics Modelization Model oriented development Machine learning Approximation Experimental data |
url | https://fruct.org/publications/abstract23/files/Per.pdf
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work_keys_str_mv | AT ivanperl automatedmodelizationofdynamicsystems AT aleksandrpenskoi automatedmodelizationofdynamicsystems |