Title: Methods and instruments of adaptive control over an intelligent enterprise using the weak signals

Authors: Vasyl Teslyuk; Ivan Tsmots; Hanna Nazarkevych

Addresses: Department of Automated Control Systems, Lviv Polytechnic National University, Ukraine ' Department of Automated Control Systems, Lviv Polytechnic National University, Ukraine ' Department of Automated Control Systems, Lviv Polytechnic National University, Ukraine

Abstract: The growing rise of the economy and automatisation require precise and real-time data-driven decision-making from the enterprise. The proposed intelligent enterprise management system for detecting weak signals based on an integrated approach uses the technologies of Internet of Things devices, data processing algorithms and decision support strategies. A basic four-level structure of an intelligent enterprise management system has been developed. The external environment is decomposed into influence signals. The threshold value is compared with the difference between the calculated and predicted values of the integrated indicator of impact on the enterprise. A method of adaptive management of an intelligent enterprise by weak signals has been developed, which, by monitoring the environment and predicting the consequences of the implementation of management decisions, ensures effective management of the enterprise. The program for assessing environmental signals developed in MATLAB allows one to calculate the total signal of influence on an intelligent enterprise.

Keywords: adaptive control; intelligent enterprise using the weak signals; method for detecting weak signals; method for adaptive management of a smart enterprise.

DOI: 10.1504/IJSTM.2025.150790

International Journal of Services Technology and Management, 2025 Vol.30 No.4, pp.284 - 305

Received: 15 Mar 2023
Accepted: 01 Oct 2023
Published online: 23 Dec 2025 *

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