4 papers
Computationally Tractable Robust Nonlinear Model Predictive Control using DC Programming
Martin Doff-Sotta, Zaheen A-Rahman, Mark Cannon
We propose a computationally tractable, tube-based robust nonlinear model predictive control (MPC) framework using difference-of-convex (DC) functions and sequential convex program…
Modeling and Control of Hybrid Distribution Transformers for Simultaneous Grid Services
Martin Doff-Sotta, Florian Cech, Rishabh Manjunatha +3
Hybrid distribution transformers (HDTs) integrate conventional transformers with partially rated power electronic converters to improve power quality, enable advanced ancillary ser…
Optimal Placement of Smart Hybrid Transformers in Distribution Networks
Samuel Hayward, Martin Doff-Sotta, Michael Merlin +2
Hybrid transformers are a relatively new technology that combine conventional power transformers with power electronics to provide voltage and reactive power control capabilities i…
Deep learning adaptive Model Predictive Control of Fed-Batch Cultivations
Niels Krausch, Martin Doff-Sotta, Mark Cannon +2
Bioprocesses are often characterised by nonlinear and uncertain dynamics, posing particular challenges for model predictive control (MPC) algorithms due to their computational dema…