  In the way towards Industry 4.0, the complexity of the industrial systems
increases due to the presence of multiple agents, Cyber-Physical Systems,
distributed sensing, and big data introducing unknown dynamics that affect the
production goals of the manufacturing processes. Thus, Digital Twin is a
breaking technology corresponding to the capacity of developing a virtual
representation of any complex system in order to perform design, analysis, and
behavior prediction tasks that enhance the understanding of these systems
through new enabling capabilities like real-time analytics, parallel sensing,
or Smart Control Engineering. In this paper, a novel framework is proposed for
the design and implementation of Digital Twin applications to the development
of Smart Control Engineering. The steps of this framework involve system
documentation, multidomain simulation, behavioral matching, and real-time
monitoring. This framework is applied to develop the Digital Twin for a
real-time vision feedback infrared temperature uniformity control. The obtained
results show that Digital Twin is a fundamental part of the transformation into
Industry 4.0.
