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Found 5 papers, 0 papers with code
Nonparametric Control-Koopman Operator Learning: Flexible and Scalable Models for Prediction and Control
Linearity of Koopman operators and simplicity of their estimators coupled with model-reduction capabilities has lead to their great popularity in applications for learning dynamical systems.
Finite Dimensional Koopman Form of Polynomial Nonlinear Systems
The Koopman framework is a popular approach to transform a finite dimensional nonlinear system into an infinite dimensional, but linear model through a lifting process, using so-called observable functions.
Koopman Form of Nonlinear Systems with Inputs
In applications for systems with inputs, generally a linear time invariant (LTI) form of the Koopman model is assumed, as it facilitates the use of control techniques such as linear quadratic regulation and model predictive control.
Optimal Synthesis of LTI Koopman Models for Nonlinear Systems with Inputs
In the lifted space, the dynamics are linear and represented by a so-called Koopman operator.
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.
