Nowadays, many Machine Learning techniques able to identify dynamic models from data are taking hold. But, can we support the learning phase leveraging our expertise obtaining models with better generalization property?
To tackle this need and others we have developed a novel approach, romAI.
This application combines AI and system modeling techniques to generate reusable continuous dynamic models extremely time-efficient, hence used as Reduced-Order Models to speed-up system design and optimization or in Digital Twins/Simulators for real-time applications.