This thesis presents a novel state-feedback approach to event-based control which allows approximating a continuous-time state-feedback loop with arbitrary precision while adapting the communication over the feedback link to the effect of unknown disturbances.
The focus of this thesis lies in complementing the event-based state-feedback control by deriving new properties, proposing alternative methods for the analysis and improving the components of the closed-loop system. Moreover, suitable strategies are proposed to deal with imprecise information about the plant and imperfect communication links. The theoretical results are evaluated by simulations and experiments using a thermofluid process.
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