Applications of MATLAB in Engineering

MATLAB has evolved from a numerical computing environment into a comprehensive engineering platform with rich toolboxes, modeling languages (Simulink, Stateflow), and code-generation capabilities. This paper surveys core applications of MATLAB across major engineering disciplines—electrical, electronics & communication, mechanical, civil, and computer engineering—emphasizing signal processing, control systems, power systems, image processing, communication systems, optimization, and machine learning. We present compact case studies, reproducible code snippets, and a discussion on performance, validation, and deployment (including embedded code generation). Limitations and best practices are articulated to guide students and practitioners in selecting MATLAB for research and industrial workflows.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-08-28
DOI
https://doi.org/10.22214/ijraset.2025.73829
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Applications of MATLAB in Engineering

S.S. Ahmad
International Journal for Research in Applied Science and Engineering Technology
Distributed and Parallel Computing Systems
article

Applications of MATLAB in Engineering

S.S. Ahmad
article en

Abstract

MATLAB has evolved from a numerical computing environment into a comprehensive engineering platform with rich toolboxes, modeling languages (Simulink, Stateflow), and code-generation capabilities. This paper surveys core applications of MATLAB across major engineering disciplines—electrical, electronics & communication, mechanical, civil, and computer engineering—emphasizing signal processing, control systems, power systems, image processing, communication systems, optimization, and machine learning. We present compact case studies, reproducible code snippets, and a discussion on performance, validation, and deployment (including embedded code generation). Limitations and best practices are articulated to guide students and practitioners in selecting MATLAB for research and industrial workflows.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(8)
Dr. Ram Manohar Lohia Institute of Medical Sciences (IN)
Openalex Percentile: Top 74%
Distributed and Parallel Computing Systems
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