We investigate stability analysis and controller design of unknowncontinuous-time systems under state-feedback with aperiodic sampling, using only noisy data but no model knowledge . We first derive a novel data-dependentparametrization of all continuous time systems consistent with themeasured data and the assumed noise bound . We compute lower bounds on the maximum sampling interval for closed-loop stability . Our methods guarantee the computed MSI robustly for all systems . As a technical contribution, the proposed approach embeds existing methods for sampled-data control into a general robust controlframework, which can be directly extended to model-based robust controller design for uncertain time-delay systems under general uncertainty descriptions .

Author(s) : Julian Berberich, Stefan Wildhagen, Michael Hertneck, Frank Allgöwer

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Keywords : systems - data - time - sampling - methods -

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