Dr Ross Drummond
School of Electrical and Electronic Engineering
Lecturer in Control and Systems Engineering
Full contact details
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
ºù«Ӱҵ
S1 3JD
- Profile
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Ross Drummond received an MEng degree from the Department of Aeronautical Engineering at Imperial College London (2009-2013). He then moved to the Control Group at the University of Oxford (2013-2017) to complete his DPhil degree. After some time as a research assistant (2017-2020) working on battery modelling, he was awarded a UK Intelligence Community research fellowship from the Royal Academy of Engineering. He is set to begin a lectureship in the Department of Automatic Control and Systems Engineering at the University of ºù«Ӱҵ upon completion of his fellowship.
- Research interests
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My research focuses on the use of modelling, control theory and optimisation to improve the performance of energy storage devices, notably lithium ion batteries. By using ideas from control theory to make our energy storage devices smarter, the goal of this research is to enable better batteries through more efficient management and control.
Understanding lithium ion batteries requires understanding the dynamics of nonlinear systems. For that reason, another aspect of my research is on developing tools to characterise stability properties of nonlinear systems. A particular focus is on the absolute stability problem where my collaborators and I have developed several results including on the search for Zames-Falb multipliers and Lyapunov functions.
Using these methods on the stability analysis of nonlinear systems, I have been motivated to address the problem of the lack of robustness of machine learning algorithms, particularly those driven by neural networks. As well as quantifying neural network robustness, I am also interested in drawing connections between model-based and datadriven control. The goal of this research is to exploit control theory’s understanding of nonlinear system dynamics to facilitate the deployment of data-driven control to safety-critical systems.
- Publications
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Journal articles
- . Journal of The Electrochemical Society, 171(6), 060531-060531.
- . IEEE Transactions on Control Systems Technology, PP(99), 1-11.
- . IEEE Transactions on Neural Networks and Learning Systems, 35(1), 1182-1191.
- Optimal Fast Charging of Lithium Ion Batteries: Between Model-Based and Data-Driven Methods. Journal of the Electrochemical Society.
- . IEEE Control Systems Letters, 7, 3908-3913.
- . Automatica, 155, 111122-111122.
- . IEEE Transactions on Automatic Control, 1-12.
- . IEEE Transactions on Automatic Control, 1-8.
- . Journal of Power Sources, 542, 231758-231758.
- . Journal of Physics: Energy.
- . Journal of The Electrochemical Society, 169(1), 010528-010528.
- . IEEE Control Systems Letters, 6, 2287-2292.
- . IEEE Transactions on Control Systems Technology, 30(5), 2220-2227.
- . Journal of Power Sources, 448, 227376-227376.
- . IEEE Transactions on Automatic Control, 65(4), 1660-1667.
- . IEEE Transactions on Control Systems Technology, 28(4), 1284-1295.
- . Journal of Power Sources, 413, 59-67.
- . IEEE Transactions on Automatic Control, 64(3), 1201-1208.
- . IEEE Transactions on Control Systems Technology, 27(3), 1071-1083.
- . IEEE Control Systems Letters, 2(2), 207-212.
- . Journal of Energy Storage, 10, 48-55.
- . Journal of Power Sources, 277, 317-328.
- . IMA Journal of Mathematical Control and Information, dnae003.
Conference proceedings papers
- . 2024 American Control Conference (ACC) (pp 3584-3589), 10 July 2024 - 12 July 2024.
- . 2024 European Control Conference (ECC), 25 June 2024 - 28 June 2024.
- . 2024 European Control Conference (ECC), 25 June 2024 - 28 June 2024.
- . 2024 UKACC 14th International Conference on Control (CONTROL), 10 April 2024 - 12 April 2024.
- Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks. Proceedings of Machine Learning Research, Vol. 242 (pp 209-221)
- Convex neural network synthesis for robustness in the 1-norm. Proceedings of Machine Learning Research, Vol. 242 (pp 1388-1399)
- Mapping back and forth between model predictive control and neural networks. Proceedings of Machine Learning Research, Vol. 242 (pp 1228-1240)
- . 2022 European Control Conference (ECC), 12 July 2022 - 15 July 2022.
- . IFAC-PapersOnLine, Vol. 50(1) (pp 2671-2676)
- Closed-loop control of dielectric permittivity for 3D-printed radio-frequency devices. Procs. of the IEEE Conference on Control Technology and Applications (CCTA)
Preprints
- Grants
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Research Grants
- High energy density battery pack design without compromising on safety, Royal Academy of Engineering, UK Intelligence Community Research Fellowship, 10/2020 - 11/2023, £200,000 as PI
- Teaching activities
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ACS133 Physical Systems