Event-triggered control of nonlinear systems from data
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.
Fields of Study & Subjects
Stability and Control of Uncertain Systems
Advanced Control Systems Optimization
Adaptive Dynamic Programming Control
Publication details
- Journal / source
- Systems & Control Letters
- Volume
- 215
- Pages
- 106471–106471
- Publication date
- 29 May 2026
- Language
- EN