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Found 6 papers, 1 papers with code
Bounding the difference between model predictive control and neural networks
There is a growing debate on whether the future of feedback control systems will be dominated by data-driven or model-driven approaches.
Model Predictive Control for Electron Beam Stabilization in a Synchrotron
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.
Reduced-Order Neural Network Synthesis with Robustness Guarantees
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.
Structural Identifiability of a Pseudo-2D Li-ion Battery Electrochemical Model
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.
Robust error bounds for quantised and pruned neural networks
With the rise of smartphones and the internet-of-things, data is increasingly getting generated at the edge on local, personal devices.
Multi-Array Electron Beam Stabilization using Block-Circulant Transformation and Generalized Singular Value Decomposition
We introduce a novel structured controller design for the electron beam stabilization problem of the UK's national synchrotron light source.
