no code implementations • 13 Apr 2022 • Ross Drummond, Stephen R. Duncan, Matthew C. Turner, Patricia Pauli, Frank Allgöwer
There is a growing debate on whether the future of feedback control systems will be dominated by data-driven or model-driven approaches.
no code implementations • 4 Jul 2021 • Idris Kempf, Paul J. Goulart, Stephen R. Duncan
Electron beam stabilization in a synchrotron is a disturbance rejection problem, with hundreds of inputs and outputs, that is sampled at frequencies higher than $10$ kHz.
no code implementations • 18 Feb 2021 • Ross Drummond, Mathew C. Turner, Stephen R. Duncan
The reduced-order neural network's weights and biases are generated from a convex semi-definite programme that minimises the worst-case approximation error with respect to the larger network.
no code implementations • 3 Dec 2020 • Ross Drummond, Stephen R. Duncan
From an inspection of the impedance function, it was shown that this model is uniquely parametrised by 21 parameters, being combinations of the electrochemical parameters like the conductivities and diffusion coefficients.
1 code implementation • 30 Nov 2020 • Jiaqi Li, Ross Drummond, Stephen R. Duncan
With the rise of smartphones and the internet-of-things, data is increasingly getting generated at the edge on local, personal devices.
no code implementations • 1 Sep 2020 • Idris Kempf, Stephen R. Duncan, Paul J. Goulart, Guenther Rehm
We introduce a novel structured controller design for the electron beam stabilization problem of the UK's national synchrotron light source.