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
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…
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…