Event-triggered control of nonlinear systems from data

We present an approach to design event-triggered controllers for a class of nonlinear systems directly from data, which extends the results for linear systems given by the authors in [1]. By the so-called emulation approach, we first 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.