A statistically consistent Koopman identification method for nonlinear systems with inputs and general noise, based on deep state-space encoders and multiple-shooting prediction error minimization.
Surana , Koopman operator based observer synthesis for control-affine nonlinear systems , in IEEE 55th Conference on Decision and Control (CDC), 2016, pp
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Learning Koopman Models From Data Under General Noise Conditions
A statistically consistent Koopman identification method for nonlinear systems with inputs and general noise, based on deep state-space encoders and multiple-shooting prediction error minimization.