2 citations · 2 across the 1 of their papers we have counts for
3 papers
Bounding the difference between model predictive control and neural networks
Ross Drummond, Stephen R. Duncan, Matthew C. Turner +2
There is a growing debate on whether the future of feedback control systems will be dominated by data-driven or model-driven approaches. Each of these two approaches has their own…
A nonlinear model predictive control framework using reference generic terminal ingredients -- extended version
Johannes Köhler, Matthias A. Müller, Frank Allgöwer
In this paper, we present a quasi infinite horizon nonlinear model predictive control (MPC) scheme for tracking of generic reference trajectories. This scheme is applicable to nonl…
Data-Driven Model Predictive Control with Stability and Robustness Guarantees
Julian Berberich, Johannes Köhler, Matthias A. Müller +1
We propose a robust data-driven model predictive control (MPC) scheme to control linear time-invariant (LTI) systems. The scheme uses an implicit model description based on behavio…