Abstract
In this study, a dissipativity-based event-triggered fuzzy control design was proposed for unreliable networked systems. The controlled plant was characterized as an interval type-2 fuzzy model and a controller with unreliable data transmission was provided via an event-triggered mechanism. The resulting closed-loop system was established by coupling the controlled system to a controller. Bilateral information in a sampling interval was used to create a looped-functional, based on which the existence of the controller can be inferred. Finally, we ensured that the closed-loop system was strictly stochastically 〈Q,S,R〉−γ-dissipative. The effectiveness of the proposed control method was demonstrated experimentally.
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