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S. Hirche

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#machine learning Preprint Sep 2026

Demystifying Linear Operator Learning for Control Systems

This paper proposes a structured approach to learning linear operators for control systems from data using the well-established framework of (semi)groups for evolution equations and demonstrates the power of using these frameworks by deriving a convergent estimator for time-varying systems.

Maximilian Beier, Nicolas Hoischen, S. Hirche et al. · 0 citations