Bars, R., Max, G., Rossiter, J.A. orcid.org/0000-0002-1336-0633 et al. (1 more author) (2025) Discrete control algorithms for systems with big dead time for control101 MATLAB toolbox. In: Cigánek,, J., Kozák, S. and Kozáková, A., (eds.) 2025 Cybernetics & Informatics (K&I) Proceedings. 2025 International Conference Cybernetics & Informatics (K&I), 02-05 Feb 2025, Mikulov, Czechia. Institute of Electrical and Electronics Engineers (IEEE) ISBN 9798331541828
Abstract
The first course of control is under a critical review. Both the teaching material covered and the teaching methods require new considerations. Introducing interactivity in the education process makes the learning more successful and enjoyable. MATLAB provides an effective environment for learning and applying different disciplines. Control101 is a new MATLAB toolbox under development which provides tools for interactive learning of control disciplines. This paper presents the framework for teaching discrete control algorithms applied for processes containing large dead times.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2025 The Author(s). Except as otherwise noted, this author-accepted version of a paper published in 2025 Cybernetics & Informatics (K&I) is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | control education; control101 MATLAB toolbox; independent learning; discrete control algorithms; dead time |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Jan 2025 10:56 |
Last Modified: | 28 Mar 2025 11:45 |
Status: | Published online |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/KI64036.2025.10916479 |
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Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:221668 |