{"ID":2834638,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.01938","arxiv_id":"2512.01938","title":"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.","short_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 eve...","url_abs":"https://arxiv.org/abs/2512.01938","url_pdf":"https://arxiv.org/pdf/2512.01938v1","authors":"[\"Hailong Chen\",\"Claudio De Persis\",\"Andrea Bisoffi\",\"Pietro Tesi\"]","published":"2025-12-01T17:50:55Z","proceeding":"eess.SY","tasks":"[\"eess.SY\",\"math.OC\"]","methods":"[]","has_code":false}