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Found 2 papers, 1 papers with code
Deep Identification of Nonlinear Systems in Koopman Form
The present paper treats the identification of nonlinear dynamical systems using Koopman-based deep state-space encoders.
Non-linear State-space Model Identification from Video Data using Deep Encoders
An encoder function, represented by a neural network, is introduced to learn a reconstructability map to estimate the model states from past inputs and outputs.
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