11 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…
Handling nonlinearities and uncertainties of fed-batch cultivations with difference of convex functions tube MPC
Niels Krausch, Martin Doff-Sotta, Mark Canon +2
Bioprocesses are often characterized by nonlinear and uncertain dynamics. This poses particular challenges in the context of model predictive control (MPC). Several approaches have…
Data-driven robust MPC of tiltwing VTOL aircraft
Martin Doff-Sotta, Mark Cannon, Marko Bacic
This paper investigates robust tube-based Model Predictive Control (MPC) of a tiltwing Vertical Take-Off and Landing (VTOL) aircraft subject to wind disturbances and model uncertai…
Robust trajectory optimisation for transitions of tiltwing VTOL aircraft
Martin Doff-Sotta, Mark Cannon, Marko Bacic
We propose a method to generate robust and optimal trajectories for the transition of a tiltwing Vertical Take-Off and Landing (VTOL) aircraft leveraging concepts from convex optim…
Fast optimal trajectory generation for a tiltwing VTOL aircraft with application to urban air mobility
Martin Doff-Sotta, Mark Cannon, Marko Bacic
We solve the minimum-thrust optimal trajectory generation problem for the transition of a tiltwing Vertical Take-Off and Landing (VTOL) aircraft using convex optimisation. The meth…
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset
Hannah Rose Kirk, Yennie Jun, Paulius Rauba +7
Hateful memes pose a unique challenge for current machine learning systems because their message is derived from both text- and visual-modalities. To this effect, Facebook released…
Predictive energy management for hybrid electric aircraft propulsion systems
Martin Doff-Sotta, Mark Cannon, Marko Bacic
We present a Model Predictive Control (MPC) algorithm for energy management in aircraft with hybrid electric propulsion systems consisting of gas turbine and electric motor compone…
Optimal energy management for hybrid electric aircraft
Martin Doff-Sotta, Mark Cannon, Marko Bacic
A convex formulation is proposed for optimal energy management in aircraft with hybrid propulsion systems consisting of gas turbine and electric motor components. By combining a po…