Rossiter, J.A. orcid.org/0000-0002-1336-0633 (2023) A suite of MATLAB livescript files to support learning of elementary control and feedback concepts. In: Ishii, H., Ebihara, Y., Imura, J. and Yamakita, M., (eds.) IFAC-PapersOnLine. 22nd World Congress of the International Federation of Automatic Control (IFAC2023), 09-14 Jul 2023, Yokohama, Japan. Elsevier , pp. 7555-7560.
Abstract
This paper builds on a body of work in the community which is focussed on sharing learning and teaching resources, especially those which might support a first course in control. Here attention is given to some of the mathematical, analytical and numerical computations which are required to support simple system and feedback analysis and design. The aim is to provide resources which allow students to focus on core concepts and understanding so that the numerical computations are not an obstacle to their investigations. More specifically, this paper focuses on a number of MATLAB livescript files which have been produced to help students visualise the impact of parameter and design choices on system behaviour, while simultaneously empowering them to understand the source code and thus upskill them for the future. The paper gives an overview of the livescripts available so users can decide whether these could be useful in their own context; all are freely available on the author’s website (Rossiter, 2021).
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: | © 2023 The Author. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | Virtual laboratories, independent learning, visualisation, livescripts |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Mar 2023 11:07 |
Last Modified: | 07 Dec 2023 14:54 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.ifacol.2023.10.657 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:197621 |