Multiple agents learn a consistent Koopman operator approximation for unknown nonlinear dynamics by performing local lifted-data estimation and achieving exponential consensus over a communication graph.
, author George, J
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Distributed Koopman Operator Learning from Sequential Observations
Multiple agents learn a consistent Koopman operator approximation for unknown nonlinear dynamics by performing local lifted-data estimation and achieving exponential consensus over a communication graph.