The process control systems based on industrial Internet of Things (IIoT) are typically built on fixed sampling of sensors and fixed control strategies, which may result in inefficient use of the resources and slow reactions to the changing settings. In this paper, the co-design of adaptive control instrumentation to work over a real-time process control based on IoT is suggested. This framework incorporates the logic of decision making into the instrumentation layer whereby the sensors automatically can adapt sampling rates to the control error and process dynamics. An adaptive sensor control is calculated in a closed-loop feedback controller to perform control actions. The framework is tested with simulation based on the time-series of the industrial sensors. Findings of experiments prove enhanced control precision, diminished data transfer, reduced energy use, and quick reaction in contrast to the traditional fixed-sampling methods. © 2026 IEEE.

https://www.scopus.com/pages/publications/105040755331?origin=resultslist