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 …

This paper studies several problems related to quadratic matrix inequalities (QMIs), ie,
inequalities in the Loewner order involving quadratic functions of matrix variables. In …

In this article, we introduce a method to deal with the data-driven control design of nonlinear
systems. We derive conditions to design controllers via (approximate) nonlinearity …

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 …

Virtual Power Plants (VPPs) have emerged as a modern real-time energy management
architecture that seeks to synergistically coordinate an aggregation of renewable and non …

A recurring question that all authors of this special issue encounter is,“Why not go with
models?” Two terms need to be clarified: In this context, a model is understood as a …

We present a novel framework for transferring the knowledge from one system (source) to
design a stabilizing controller for a second system (target). Our motivation stems from the …

We are given one input–output (io) trajectory (u, y) produced by a linear, continuous time-
invariant system, and we compute its Chebyshev polynomial series representation. We …

We use polynomial approximation theory to perform data-driven analysis and control of
linear, continuous-time invariant systems. We transform the continuous-time input …