Control of nonlinear continuous-time multi-input and multi-output dynamic systems using neuroevolution

Institute of Robotics and Cybernetics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Bratislava, Slovakia

Ivan Sekaj

ivan.sekaj@stuba.sk

Institute of Robotics and Cybernetics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Bratislava, Slovakia

Filip Zúbek

filip.zubek@stuba.sk

Institute of Robotics and Cybernetics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Bratislava, Slovakia

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DOI: https://doi.org/10.2478/jee-2026-0035 | Journal eISSN: 1339-309X (formerly 1335-3632) | Journal ISSN: 1335-3632

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Language: English

Page range: 366 - 375

Submitted on: Jun 10, 2026

Published on: Aug 27, 2026

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Keywords:

neuroevolution,

artificial neural network,

genetic algorithm,

nonlinear dynamic system,

MIMO system,

new controller architecture,

centralized approach,

decentralized approach

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2026 Ivan Kenický, Ivan Sekaj, Filip Zúbek, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 77 (2026): Issue 4 (August 2026)