Abstract: In this work, we consider the problem of learning the Koopman operator for discrete-time autonomous systems. The learning problem is formulated as a generic constrained regularized empirical ...
Abstract: This article presents a generalizable methodology for data-driven identification of nonlinear dynamics that bounds the model error in terms of the ...