8 citations · 11 across the 4 of their papers we have counts for
7 papers
Bounding the difference between model predictive control and neural networks
Ross Drummond, Stephen R. Duncan, Matthew C. Turner +2
There is a growing debate on whether the future of feedback control systems will be dominated by data-driven or model-driven approaches. Each of these two approaches has their own…
Regional Stability Analysis of Transitional Fluid Flows
Leonardo F. Toso, Ross Drummond, Stephen R. Duncan
A method to bound the maximum energy perturbation for which regional stability of transitional fluid flow models can be guaranteed is introduced. The proposed method exploits the f…
Cell-Level State of Charge Estimation for Battery Packs Under Minimal Sensing
Dong Zhang, Luis D. Couto, Ross Drummond +2
This manuscript presents an algorithm for individual Lithium-ion (Li-ion) battery cell state of charge (SOC) estimation in a large-scale battery pack under minimal sensing, where o…
Structural Identifiability of a Pseudo-2D Li-ion Battery Electrochemical Model
Ross Drummond, Stephen R. Duncan
Growing demand for fast charging and optimised battery designs is fuelling significant interest in electrochemical models of Li-ion batteries. However, estimating parameter values…
Robust error bounds for quantised and pruned neural networks
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. For privacy, latency and energy saving reaso…
Resolving Kirchhoff's laws for state-estimator design of Li-ion battery packs connected in parallel
Ross Drummond, Luis D. Couto, Dong Zhang
A state-space model for Li-ion battery packs with parallel connected cells is introduced. The key feature of this model is an explicit solution to Kirchhoff's laws for parallel con…