3 papers
math.OC2023
The informativity approach to data-driven analysis and control
Henk J. van Waarde, Jaap Eising, M. Kanat Camlibel +1
The goal of this paper is to provide a tutorial on the so-called informativity framework for direct data-driven analysis and control. This framework achieves certified data-based a…
math.OC2022
Informativity for centralized design of distributed controllers for networked systems
Jaap Eising, Jorge Cortes
Recent work in data-driven control has led to methods that find stabilizing controllers directly from measurements of an unknown system. However, for multi-agent systems we are oft…
math.OC2022
Using data informativity for online stabilization of unknown switched linear systems
Jaap Eising, Shenyu Liu, Sonia Martinez +1
This work studies data-driven switched controller design for discrete-time switched linear systems. Instead of having access to the full system dynamics, an initialization phase is…