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Found 2 papers, 1 papers with code
Learning Stable Koopman Embeddings for Identification and Control
Whereas most existing works on Koopman learning do not take into account the stability or stabilizability of the model -- two fundamental pieces of prior knowledge about a given system to be identified -- in this paper, we propose new classes of Koopman models that have built-in guarantees of these properties.
Learning Stable Koopman Embeddings
In this paper, we present a new data-driven method for learning stable models of nonlinear systems.
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