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Sequential Predictors for Delay Compensation for Discrete Time Systems with Time-Varying Delays

Abstract : We study time-varying linear discrete time systems with uncertainties and time-varying measurement delays, whose outputs are perturbed by uncertainty. We build sequential predictors, which ensure input-to-state stability with respect to the uncertainties and which can be constructed using output values under arbitrarily long delays. The number of required sequential predictors is any upper bound for the delay in our feedback stabilized closed loop systems. We illustrate our work in a digital control problem for a continuous time system that is discretized through sampling.
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https://hal.inria.fr/hal-03113504
Contributor : Frederic Mazenc Connect in order to contact the contributor
Submitted on : Monday, January 18, 2021 - 3:23:42 PM
Last modification on : Thursday, January 20, 2022 - 5:27:21 PM
Long-term archiving on: : Monday, April 19, 2021 - 7:03:41 PM

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Frederic Mazenc, Michael Malisoff, Indra Bhogaraju. Sequential Predictors for Delay Compensation for Discrete Time Systems with Time-Varying Delays. Automatica, Elsevier, 2020, 122, ⟨10.1016/j.automatica.2020.109188⟩. ⟨hal-03113504⟩

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