Today modern industrial and advanced commercial systems integrate computing, communication, and control systems into different levels of factory operations and information processes.;However, an industrial supervisory intelligent control system involves a number of different input elements and their environments, which have a significant impact on the supervisory intelligent control system. Therefore, designing or approaching such a system is critical.;This research develops and presents a model that allows understanding the supervisory intelligent control system based on methodologies, situation awareness, multi-agent distributed decision-making, and mental models represented as an abstraction hierarchy. In addition, a framework for the database and the first response alert system will be developed.;This research will discuss the impact of intelligent control, control loop, and the network architecture on control performance in a class of distributed control systems. Also, design considerations related to quality control of performance as well as network quality of service are provided. The integrated network control system changes the characteristics of time delays between application devices.;The study points out the interaction between continuous and discrete dynamics, which is the cornerstone of any intelligent control system. This is an important concept to discuss in the determinism and controllability.
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