… proposes a combined approach of expert knowledge, reinforcement learning and digital
twin for the selfoptimization of mobile networks. By constructing a digital twin of the current …

… In order to realize this idea we develop a new concept of selfaware digital twins which are
… of digital twins by extending their “virtual replica” (of physical objects) nature into “digital self-…

… novel uses of Digital Twins in Factories of the Future. We introduce a holistic Digital Twin
approach, in which the factory is not represented by a set of separated Digital Twins but by a …

… optimization in complex environments has been a major bottleneck in today’s industrial
transformation towards smart manufacturing. Digital twin (DT… design and optimization capabilities …

… Thus, SPSA can be used as bridge between virtual and real systems to … of Digital Twins.
This paper presents a parallel Self Optimizing Control framework enabled by Digital Twins and …

… Based on measured PV power, this approach learns and … By optimizing these parameters,
we create a digital twin that … To develop this approach, on-site measured power, ambient …

… The concept of the Digital Twin is not yet addressed in the presented learning factories and
… optimization and the use of a Digital Twin for required continuous near-realtime optimization …

… optimization is often referred to as a Digital Twin. … Digital Twin for geometry assurance. The
paper combines research within variation simulation and quality control to an autonomous self…

… simulation and optimisation conducted in the constructed overall digital twin model. Here, …
produce an optimisation scheme for digital twin model to conduct a new round of simulation. …

… Digital Twin (DT) refers to the virtual copy or model of any … or Digital Twin are reflected
in its counterpart, creating a closed feedback loop [33]. A DT is self-adapting and self-optimizing …