  Designing a Cyber-Physical System (CPS), including modeling the control
components and services, is a challenging task. Using models and simulations
during run-time is crucial for successfully implementing advanced control and
prediction components. The complexity of designing an effective CPS system
increases due to real-time constraints. Generating accurate predictions and
making decisions using detailed models in various contexts is %can be
computationally demanding and complex to manage within the available
computational resources. Employing approximated models and switching to the
most suited model adaptively at run-time is an effective technique. But an
approximated model is most probable not valid in all the different contexts the
system will be in. This experience report uses the Validity Frame concept to
enable %this adaptation at run-time. In each environment, some influencing
factors are outside the model's control, but these properties influence the
model's behavior. By defining Validity Frames, based on specific contexts and
related models, we present a possible perspective to address the issue of
selecting the more appropriate model in various contexts. Furthermore, we
discuss the insights and lessons obtained and determine future challenges.
