Models for continous and hybrid system simulation
The DEVS formalism was defined as a method for modeling and discrete event systems. DEVS theory evolved and it was recently upgraded in order to permit modeling of continuous and hybrid systems. Here, we present a first experience on the use of two of the existing methods for defining continuous var...
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2003
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02750708_v1_n_p641_DAbreu http://hdl.handle.net/20.500.12110/paper_02750708_v1_n_p641_DAbreu |
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paper:paper_02750708_v1_n_p641_DAbreu2023-06-08T15:25:51Z Models for continous and hybrid system simulation Approximation theory Computer systems Digital computers Mathematical models Numerical methods Partial differential equations Polynomials Problem solving Hybrid systems Quantization methods Computer simulation The DEVS formalism was defined as a method for modeling and discrete event systems. DEVS theory evolved and it was recently upgraded in order to permit modeling of continuous and hybrid systems. Here, we present a first experience on the use of two of the existing methods for defining continuous variable DEVS models (namely, the QDEVS and the GDEVS formalisms), to develop continuous and hybrid systems simulations. We show how to model these dynamic systems under the discrete event abstraction. Examples of model simulations with their execution results are included. An experimental analysis on quantization methods within models is also presented. 2003 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02750708_v1_n_p641_DAbreu http://hdl.handle.net/20.500.12110/paper_02750708_v1_n_p641_DAbreu |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Approximation theory Computer systems Digital computers Mathematical models Numerical methods Partial differential equations Polynomials Problem solving Hybrid systems Quantization methods Computer simulation |
spellingShingle |
Approximation theory Computer systems Digital computers Mathematical models Numerical methods Partial differential equations Polynomials Problem solving Hybrid systems Quantization methods Computer simulation Models for continous and hybrid system simulation |
topic_facet |
Approximation theory Computer systems Digital computers Mathematical models Numerical methods Partial differential equations Polynomials Problem solving Hybrid systems Quantization methods Computer simulation |
description |
The DEVS formalism was defined as a method for modeling and discrete event systems. DEVS theory evolved and it was recently upgraded in order to permit modeling of continuous and hybrid systems. Here, we present a first experience on the use of two of the existing methods for defining continuous variable DEVS models (namely, the QDEVS and the GDEVS formalisms), to develop continuous and hybrid systems simulations. We show how to model these dynamic systems under the discrete event abstraction. Examples of model simulations with their execution results are included. An experimental analysis on quantization methods within models is also presented. |
title |
Models for continous and hybrid system simulation |
title_short |
Models for continous and hybrid system simulation |
title_full |
Models for continous and hybrid system simulation |
title_fullStr |
Models for continous and hybrid system simulation |
title_full_unstemmed |
Models for continous and hybrid system simulation |
title_sort |
models for continous and hybrid system simulation |
publishDate |
2003 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02750708_v1_n_p641_DAbreu http://hdl.handle.net/20.500.12110/paper_02750708_v1_n_p641_DAbreu |
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1768546721710735360 |