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State-Feedback Event-Triggered Control Using Data-Driven Methods

Recently, event-triggered control has been attracting attention because it can reduce the number of communications in networked control. In the standard event-triggered control, it is assumed that a plant model is known. However, the derivation of the model often requires a lot of effort in terms of time and cost. In this paper, we propose a method to reduce the burden of designers and the number of communications by applying data-driven methods into the state-feedback event-triggered control. We confirm the effectiveness of the proposed method by simulation.