Event-triggered control of nonlinear systems from data
Systems and Control
2025-12-02 v1 Systems and Control
Optimization and Control
Abstract
In a recent paper [8], we introduced a data-based approach to design event-triggered controllers for linear systems directly from data. Here, we extend the results in [8] to a class of nonlinear systems. We provide two data-based designs certified by a (classical) Lyapunov function. For these two designs, we devise event-triggered policies that rely on the previously found Lyapunov function, have parameters tuned from data, ensure a positive minimum inter-event time, and act based either on the state error or on the library error. These two different policies, and their respective advantages, are illustrated numerically.
Cite
@article{arxiv.2512.01938,
title = {Event-triggered control of nonlinear systems from data},
author = {Hailong Chen and Claudio De Persis and Andrea Bisoffi and Pietro Tesi},
journal= {arXiv preprint arXiv:2512.01938},
year = {2025}
}