State space files for the control101 toolbox

Abstract

There was somewhat a split in opinion (Rossiter et al., 2020) on whether state space methods should be part of an introductory control course. Consequently, it makes sense for the control101 toolbox (Rossiter, 2024) to include state space resources, to support those places where this is considered fundamental. In view of this, the authors have been developing a set of resources to support an introduction to state space methods in control and this paper gives an overview of those resources (released in late summer 2024), alongside some supporting background.

Metadata

Item Type:	Proceedings Paper
Authors/Creators:	Rossiter, J. https://orcid.org/0000-0002-1336-0633 Drummond, R. Su, L. Bars, R.
Copyright, Publisher and Additional Information:	© 2025 The Authors. Except as otherwise noted, this author-accepted version of a paper published in IFAC-PapersOnLine 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/ © 2025 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords:	Independent learning; state space models; Control101
Dates:	Accepted: 24 March 2025 Published (online): 4 September 2025 Published: 2025
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:	28 Mar 2025 12:39
Last Modified:	08 Sep 2025 16:00
Status:	Published
Publisher:	Elsevier
Refereed:	Yes
Identification Number:	10.1016/j.ifacol.2025.08.022
Related URLs:	Conference
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:224775