Operational exposition on offline and online AI closed-loop control systems applications

Akpan, Whyte Asukwo and Essien, Godwin Daniel and Orazulume, Chikodili Martha and Chikelu, Peter Okechukwu and Inyang, Nsikakabasi Nsedu and Etteobong, Edet Francis (2025) Operational exposition on offline and online AI closed-loop control systems applications. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 1173-1181. ISSN 2582-8266

Offline and online operations are the two commonly identified computer operations in practice. These two operations have their advantages and limitations and should be weighed by the user before making a choice. With the current artificial intelligence revolution, critical decision has to be made on its applications in order to obtain the desired objectives. Close-loop control system is amendable for use by artificial intelligence experts, engineers and scientists for problems solving. Such decisions should not be taken without critical analysis of pros and cons of the two types of operations, selecting the best choice based on each scenario or application. This research seeks to explore the possible threats and risks associated in their operations and provide the necessary guides to enable adequate application of the two methods in closed-loop control system engineering. Such results as presented in this work have provided the platform in the utilization of artificial intelligence in closed-loop control system applications. It is hoped that this research will serve engineers in the exploration and application of offline and online computer applications in various artificial intelligence closed-loop control system usage to drive the industries, plants and similar systems suitable for their applications.