3 papers
math.OC2026
Successive convex optimization for transformer encoder model predictive control
Xingxiao Chen, Mark Cannon
We propose a data-driven Model Predictive Control (MPC) framework that employs a transformer encoder to generate multi-step predictions. To handle the nonconvex attention mechanism…
math.OC2026
Robust adaptive NMPC using ellipsoidal tubes
Johannes Buerger, Mark Cannon
We propose a computationally efficient nonlinear Model Predictive Control (NMPC) algorithm for safe, learning-based control. The system model is represented as an affine combinatio…
math.OC2025
Deep Learning Model Predictive Control for Deep Brain Stimulation in Parkinson's Disease
Sebastian Steffen, Mark Cannon
We present a nonlinear data-driven Model Predictive Control (MPC) algorithm for deep brain stimulation (DBS) for the treatment of Parkinson's disease (PD). Although DBS is typicall…