A Kalman Filter with Intermittent Observations and Reconstruction of Data Losses Cover

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A Kalman Filter with Intermittent Observations and Reconstruction of Data Losses

International Journal of Applied Mathematics and Computer Science

Volume 32 (2022): Issue 2 (June 2022)

By: Taouba Rhouma, Jean-Yves Keller and Mohamed Naceur Abdelkrim

Open Access

|Jul 2022

Authors

Taouba Rhouma

taouba.rhouma@gmail.com

Laboratory of Modeling, Analysis and Control, National Engineering School of Gabes, University of Gabes, Tunisia

Jean-Yves Keller

jean-yves.keller@univ-lorraine.fr

Henri Poincaré University Institute of Technology of Longwy, University of Lorraine, France

Mohamed Naceur Abdelkrim

Laboratory of Modeling, Analysis and Control, National Engineering School of Gabes, University of Gabes, Tunisia

DOI: https://doi.org/10.34768/amcs-2022-0018 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X

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Language: English

Page range: 241 - 253

Submitted on: Dec 29, 2021

Accepted on: Apr 9, 2022

Published on: Jul 4, 2022

Published by: University of Zielona Góra

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

intermittent unknown inputs,

intermittent observation

Related subjects:

Applied mathematics

© 2022 Taouba Rhouma, Jean-Yves Keller, Mohamed Naceur Abdelkrim, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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