3 papers
math.OC2026
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…
math.OC2025
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…
math.OC2025
Safe adaptive NMPC using ellipsoidal tubes
Johannes Buerger, Mark Cannon
A computationally efficient nonlinear Model Predictive Control (NMPC) algorithm is proposed for safe learning-based control with a system model represented by an incompletely known…