Sequential Predictors for Delay Compensation for Perturbed Discrete Time Systems
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.
Publication Source (Journal or Book title)
Proceedings of the American Control Conference
Mazenc, F., & Malisoff, M. (2020). Sequential Predictors for Delay Compensation for Perturbed Discrete Time Systems. Proceedings of the American Control Conference, 2020-July, 1696-1700. https://doi.org/10.23919/ACC45564.2020.9148032