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In the way towards Industry 4.0, the complexity of the industrial systemsincreases due to the presence of multiple agents, Cyber-Physical Systems,distributed sensing, and big data introducing unknown dynamics that affect theproduction goals of the manufacturing processes. Thus, Digital Twin is abreaking technology corresponding to the capacity of developing a virtualrepresentation of any complex system in order to perform design, analysis, andbehavior prediction tasks that enhance the understanding of these systemsthrough new enabling capabilities like real-time analytics, parallel sensing,or Smart Control Engineering. In this paper, a novel framework is proposed forthe design and implementation of Digital Twin applications to the developmentof Smart Control Engineering. The steps of this framework involve systemdocumentation, multidomain simulation, behavioral matching, and real-timemonitoring. This framework is applied to develop the Digital Twin for areal-time vision feedback infrared temperature uniformity control. The obtainedresults show that Digital Twin is a fundamental part of the transformation intoIndustry 4.0.

Digital Twin Enabled Smart Control Engineering as an Industrial AI: A New Framework and A Case Study