AI RESEARCH
Flowcean - Model Learning for Cyber-Physical Systems
arXiv CS.AI
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ArXi:2603.12015v1 Announce Type: cross Effective models of Cyber-Physical Systems (CPS) are crucial for their design and operation. Constructing such models is difficult and time-consuming due to the inherent complexity of CPS. As a result, data-driven model generation using machine learning methods is gaining popularity. In this paper, we present Flowcean, a novel framework designed to automate the generation of models through data-driven learning that focuses on modularity and usability.