1 Department of Mechanical Engineering, School of Engineering and Engineering Technology, Federal University of Technology, Ikot Abasi, Nigeria.
2 Department of Electrical and Electronics Engineering, Top Faith University Mkpatak, Akwa Ibom State, Nigeria
3 Department of Computing, Top Faith University Mkpatak, Akwa Ibom State.
4 Department of Computer Engineering, Top Faith University Mkpatak, Akwa Ibom State, Nigeria
5 Department of Electrical and Electronics Engineering, School of Engineering and Engineering Technology, Federal University of Technology, Ikot Abasi, Nigeria.
6 Department of Mechanical Engineering, School of Engineering and Engineering Technology, Federal University of Technology, Ikot Abasi, Nigeria
World Journal of Advanced Engineering Technology and Sciences, 2025, 14(03), 505-511
Article DOI: 10.30574/wjaets.2025.14.3.0105
Received on 12 February 2025; revised on 23 March 2025; accepted on 25 March 2025
Control systems especially closed-loop control system is mostly used in manufacturing and many other industrial processes. Closed-loop system is designed and used to align actual values of a given industrial process to a given command or reference value in real time with a high degree of accuracy. The current global trend in application of Artificial Intelligence is not markedly used to model, design, fine tune and optimize closed loop control systems. This article is in tandem for this purpose to highlight potential system design and configuration that can project the application of AI-Artificial Neural Network (ANN) in closed-loop control system. It shows how the conventional closed loop control system can be configured and with AI, with the intention to optimize the control functions.
AI; Closed-Loop; Control; Feedback; System; Monitoring; Signal
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Whyte Asukwo Akpan, Chikodili Martha Orazulume, Ifeoma Ugochukwu Ohari, Godwin Daniel Essien, Nsikak Abasi Nsedu Inyang and Umoh Odudu Ibanga. Artificial Intelligence based closed-loop control system design. World Journal of Advanced Engineering Technology and Sciences, 2025, 14(03), 505-511. Article DOI: https://doi.org/10.30574/wjaets.2025.14.3.0105.