Hybrid controller for a software-defined architecture of industrial internet lab-scale process

Internet of Things (IoT) is a thriving trend that has invaded many aspects of real life. The merging of IoT with industrial information is forming a new emerging direction of Industrial Internet of Things (I
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oT). I
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oT requires reliable methods for co-design of control and automation systems that can align their performance within deep and complex cyber layers of communication and computation. This paper investigates the utilization of hybrid control approach for modeling and analyzing distributed control of a quadruple-tank as a lab-scale benchmark process. The system is implemented via a software-defined architecture for I
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oT using low-cost commercial IoT-enabled Intel Galileo Boards. The proposed I
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oT software architecture utilizes Node.js and JavaScript for all different layers of the system with web sockets for handling real-time control packets. Node.js is considered reliable for event-driven scheme applications such as I
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oT due to its optimal performance and resource utilization.