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

This article provides an overview of a new approach to designing controllers for nonlinear
systems using data-driven control. Data-driven control is an important area of research in …

Unlike ODEs, whose models involve system matrices and whose controllers involve vector
or matrix gains, PDE models involve functions in those roles—functional coefficients …

In this paper, we directly design a state feedback controller that stabilizes a class of
uncertain nonlinear systems solely based on input-state data collected from a finite-length …

We present a data-based approach to design event-triggered state-feedback controllers for
unknown continuous-time linear systems affected by disturbances. By an event, we mean …

In this article, we present an extension of Willems' Fundamental Lemma to the class of multi-
input–multi-output discrete-time feedback linearizable nonlinear systems, thus providing a …

Data-driven control of nonlinear systems with rigorous guarantees is a challenging problem
as it usually calls for nonconvex optimization and often requires the knowledge of the true …

For data-driven control of nonlinear systems, the basis functions characterizing the dynamics
are usually essential. In existing works, the basis functions are often carefully chosen based …

We propose a data-driven control design method for nonlinear systems that builds on kernel-
based interpolation. Under some assumptions on the system dynamics, kernel-based …

We consider the design of state feedback control laws for both the switching signal and the
continuous input of an unknown switched linear system, given past noisy input-state …