Matlab/Simulink como Ferramenta de Modelagem e Controle de SistemasDinâmicos: Uma Revisão

This paper presents a narrative review, following a PRISMA-method, on the use of Matlab/Simulink for modeling, simulation and control of dynamic systems. Studies published between 2006 and 2025 were analyzed, with emphasis on research applying paraconsistent logic to control and system identification. The results indicate that the tool has become an academic and industrial standard by offering rapid prototyping, dedicated toolboxes and hardware integration through software-in-the-loop (SIL) and hardware-in-the-loop (HIL) schemes. Despite its licensing cost when compared to alternatives such as Scilab, the robustness of its ecosystem and its ability to interact with external simulators and hardware keep it a reference for the development and validation of control algorithms.

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Publication Details

Journal
Anais do Encontro Nacional de Pós Graduação
Published
2026-11-04
DOI
https://doi.org/10.66221/ytkntw92
Primary Topic
Modeling and Simulation Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Matlab/Simulink como Ferramenta de Modelagem e Controle de SistemasDinâmicos: Uma Revisão

A. de Carvalho, Rebecca Janini
Anais do Encontro Nacional de Pós Graduação
Modeling and Simulation Systems
article

Matlab/Simulink como Ferramenta de Modelagem e Controle de SistemasDinâmicos: Uma Revisão

A. de Carvalho, Rebecca Janini
article en

Abstract

This paper presents a narrative review, following a PRISMA-method, on the use of Matlab/Simulink for modeling, simulation and control of dynamic systems. Studies published between 2006 and 2025 were analyzed, with emphasis on research applying paraconsistent logic to control and system identification. The results indicate that the tool has become an academic and industrial standard by offering rapid prototyping, dedicated toolboxes and hardware integration through software-in-the-loop (SIL) and hardware-in-the-loop (HIL) schemes. Despite its licensing cost when compared to alternatives such as Scilab, the robustness of its ecosystem and its ability to interact with external simulators and hardware keep it a reference for the development and validation of control algorithms.

Anais do Encontro Nacional de Pós GraduaçãoVol. 10(1)
Universidade Santa Cecília (BR)
Openalex Percentile: Top 16%
Modeling and Simulation Systems
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