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.
Nijmeijer , Observability of autonomous discrete time non-linear systems: a geometric approach , International Journal of Control, 36 (1982), 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.