5 papers · 1 filter
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…
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…
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…
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…