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Designing a Cyber-Physical System (CPS), including modeling the controlcomponents and services, is a challenging task. Using models and simulationsduring run-time is crucial for successfully implementing advanced control andprediction components. The complexity of designing an effective CPS systemincreases due to real-time constraints. Generating accurate predictions andmaking decisions using detailed models in various contexts is %can becomputationally demanding and complex to manage within the availablecomputational resources. Employing approximated models and switching to themost suited model adaptively at run-time is an effective technique. But anapproximated model is most probable not valid in all the different contexts thesystem will be in. This experience report uses the Validity Frame concept toenable %this adaptation at run-time. In each environment, some influencingfactors are outside the model's control, but these properties influence themodel's behavior. By defining Validity Frames, based on specific contexts andrelated models, we present a possible perspective to address the issue ofselecting the more appropriate model in various contexts. Furthermore, wediscuss the insights and lessons obtained and determine future challenges.

Real-Time Adaptive Abstraction and Approximation Using Validity Frames -- an Experience Report