Issue |
E3S Web Conf.
Volume 229, 2021
The 3rd International Conference of Computer Science and Renewable Energies (ICCSRE’2020)
|
|
---|---|---|
Article Number | 01049 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/e3sconf/202122901049 | |
Published online | 25 January 2021 |
Comparison of algorithms for identification of IIR systems from binary measurements on the output
1
Laboratoire d’Automatique de Caen EA 7478 Normandie Univ, UNICAEN, ENSICAEN, LAC, Caen, France
2
Department of Mathematics and Informatics, University Sultan Moulay Slimane, Beni Mellal, Morocco
* e-mail: ouallahicham93@gmail.com
In the last decade, a significant number of algorithms of systems using only a quantized output, has appeared. In this study, an overview of identification methods of IIR systems, using quantized or binary output, is presented. A short description of the methods existing in the literature is given. The methods are compared both on the basis of simulation examples.
Key words: Real-time identification / IIR systems / Binary output.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.