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Author

A. Colotti

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Conference Jul 2026

Low-Order Continuous-Time Koopman Operator Learning via Physics-Informed Neural Networks

One of the main objectives in control theory is to obtain a linear representation of inherently nonlinear systems in order to leverage the analytical and theoretical tools developed for linear systems. In this context, the Koopman operator has attracted increasing interest in recent years.Koopman operator theory provid...

M. Zodros, A. Colotti, M. Yagoubi et al. · 0 citations

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