@inproceedings{71cab39b7a3c402a911f07b222cbc53e,
title = "Discrete sliding-mode-based differentiators",
abstract = "Sliding-mode-based differentiators of the input (t) of the order k yield exact estimations of the derivatives ,..., (k), provided an upper bound of |(k+1)(t)| is available in real-time. Practical application involves discrete noisy sampling of and numeric integration of the internal variables between the measurements. The corresponding asymptotic differentiation accuracies are calculated in the presence of Euler integration and discrete sampling, whereas both independently feature variable or constant time steps. Proposed discrete differentiators restore the optimal accuracy of their continuous-time counterparts. Simulation confirms the presented results.",
author = "Barbot, {Jean Pierre} and Arie Levant and Miki Livne and Davin Lunz",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 14th International Workshop on Variable Structure Systems, VSS 2016 ; Conference date: 01-06-2016 Through 04-06-2016",
year = "2016",
month = jul,
day = "7",
doi = "10.1109/VSS.2016.7506910",
language = "الإنجليزيّة",
series = "Proceedings of IEEE International Workshop on Variable Structure Systems",
publisher = "IEEE Computer Society",
pages = "166--171",
booktitle = "2016 14th International Workshop on Variable Structure Systems, VSS 2016",
address = "الولايات المتّحدة",
}