Abstract
This paper deals with a systematic way to design the event-triggered rules to stabilize a class of linear reset control systems. The event-triggering condition depends only on local information, that is it only uses the measured signals. The approach proposed combines a hybrid framework to describe the sampled-data system with Lyapunov-based techniques. Dwell-time dependent constructive conditions expressed through linear matrix inequalities (LMI) are proposed to design the event-triggered rule ensuring the asymptotic stability of the closed-loop system. The effectiveness of the approach is evaluated through an example borrowed from the literature.
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