This survey presents recent research on determining control-theoretic properties and
designing controllers with rigorous guarantees using semidefinite programming and for …

We present a method to design a state-feedback controller ensuring exponential stability for
nonlinear systems using only measurement data. Our approach relies on Koopman-operator …

In this paper we propose an end-to-end algorithm for indirect data-driven control for bilinear
systems with stability guarantees. We consider the case where the collected iid data is …

Multi-layer perceptrons (MLP's) have been extensively utilized in discovering Deep
Koopman operators for linearizing nonlinear dynamics. With the emergence of Kolmogorov …

The theory of dual control was introduced more than seven decades ago. Although it has
provided rich insights to the fields of control, estimation, and system identification, dual …

The Koopman operator serves as the theoretical backbone for machine learning of
dynamical control systems, where the operator is heuristically approximated by extended …