Intelligent Control Systems for Automation: Integrating Artificial Intelligence in Electrical Engineering Applications

Authors

  • Raja Sana Gul Department of Electrical and Computer Engineering Pak Austria Fachhochschule Institute of Applied Science and Technology Haripur Pakistan https://orcid.org/0000-0002-1633-5759
  • Hamed Allhibi Electrical Engineering department, Faculty of Engineering, RMIT University Australia
  • Fahad Mohammed S Alshamri Deakin University Australia

DOI:

https://doi.org/10.5281/zenodo.13379360

Keywords:

Artificial Intelligence (AI), Control Systems, Automation, Machine Learning, Neural Networks, Predictive Control, Unsupervised Learning, Anomaly Detection, Real-Time Control.

Abstract

This paper explores the integration of Artificial Intelligence (AI) in intelligent control systems for automation within the field of electrical engineering. We investigate how AI technologies, including machine learning and neural networks, enhance control system performance, improve efficiency, and enable advanced automation applications. The paper presents a comprehensive review of current advancements, methodologies, and case studies, highlighting the transformative impact of AI on electrical engineering.

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Published

2024-08-18

Issue

Vol. 1 No. 1 (2024): Baltic Edition

Section

Articles

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