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Intelligent maximum likelihood self-adjustable block roots assignment for a class of MIMO stochastic systems Cover

Intelligent maximum likelihood self-adjustable block roots assignment for a class of MIMO stochastic systems

Control and Cybernetics
Volume 54 (2025): Issue 4 (December 2025)
By: Belkacem Bekhiti,  George F. Fragulis and  Kamel Hariche  
Open Access
|Mar 2026

Authors

Belkacem Bekhiti

Signal and System Laboratory, Electronics and Electrotechnics Institute, University of Boumerdes, Algeria

George F. Fragulis

Department of Electrical and Computer Engineering, University of Western Macedonia, ZEP Campus, Kozani, Greece

Kamel Hariche

Signal and System Laboratory, Electronics and Electrotechnics Institute, University of Boumerdes, Algeria
DOI: https://doi.org/10.2478/candc-2025-0014 | Journal eISSN: 2720-4278 | Journal ISSN: 0324-8569
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Language: English
Page range: 389 - 419
Submitted on: Feb 1, 2025
|
Accepted on: Dec 1, 2025
|
Published on: Mar 9, 2026
Published by: Systems Research Institute Polish Academy of Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
solvents,
self-adjustable block roots,
matrix polynomial,
self-tuning,
MIMO systems,
ANFIS
Related subjects:
Computer sciences,
Computer sciences, other,
Engineering,
Electrical engineering,
Fundamentals of electrical engineering,
Mechanical engineering,
Fundamentals of mechanical engineering,
Mathematics,
General mathematics

© 2026 Belkacem Bekhiti, George F. Fragulis, Kamel Hariche, published by Systems Research Institute Polish Academy of Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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