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Sequential Predictors for Delay Compensation for Perturbed Discrete Time Systems

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Abstract

We provide sequential predictors for delayed time-varying discrete time linear systems with outputs, where the system and output measurements are perturbed by uncertainty. Our predictors ensure input-to-state stability with respect to uncertainties in the system and in the output, under arbitrarily long input delays. Our strategy is to introduce a number of dynamical extensions that equals the length of the input delay. Our example illustrates the usefulness of our control design.
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Dates and versions

hal-03113797 , version 1 (18-01-2021)

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Frederic Mazenc, Michael Malisoff. Sequential Predictors for Delay Compensation for Perturbed Discrete Time Systems. ACC 2020 - American Control Conference, Jul 2020, Denver, United States. ⟨10.23919/acc45564.2020.9148032⟩. ⟨hal-03113797⟩
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