Motivated by the goal of learning controllers for complex systems whose dynamics change
over time, we consider the problem of designing control laws for systems that switch among …

The problem of data‐driven control is addressed here in the context of switched affine
systems. This class of nonlinear systems is of particular importance when controlling many …

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 …

An important trend about data-driven systems has recently emerged motivated for practical
issues, that are the difficulties to identify a model of the plant. In this direction some recent …

The problem of data-driven control is addressed here in the context of switched affine
systems. This class of nonlinear systems is of particular importance when controlling many …

This paper serves as a first identification step in a two-step model-based control synthesis
problem of switched linear systems (SLSs). More precisely, we present an algorithm that …

Given the recent surge of interest in data-driven control, this paper proposes a two-step
method to study robust data-driven control for a parameter-unknown linear time-invariant …

For a parameter-unknown linear descriptor system, this paper proposes data-driven
methods to testify the system's type and controllability and then to stabilize it. First, a data …

A novel data-driven control methodology is introduced in this paper, specifically designed for
unknown linear time-invariant systems. Schur stability is established through the application …

The big data revolution is deeply changing the way we understand and analyze natural
phenomena around us. In the field of control engineering, data-driven control enables …