58 citations · 217 across the 54 of their papers we have counts for
9 papers · 1 filter
Tutorial Problems for Nonsmooth Dynamics and Optimal Control: Ski Jumping and Accelerating a Bike Without Pedaling
Julian Golembiewski, Timm Faulwasser
Nonsmooth phenomena, such as abrupt changes, impacts, and switching behaviors, frequently arise in real-world systems and present significant challenges for traditional optimal con…
Large problems are not necessarily hard: A case study on distributed NMPC paying off
Gösta Stomberg, Maurice Raetsch, Alexander Engelmann +1
A key motivation in the development of Distributed Model Predictive Control (DMPC) is to accelerate centralized Model Predictive Control (MPC) for large-scale systems. DMPC has the…
Towards Event-Triggered NMPC for Efficient 6G Communications: Experimental Results and Open Problems
Jens Püttschneider, Julian Golembiewski, Niklas A. Wagner +2
Networked control systems enable real-time control and coordination of distributed systems, leveraging the low latency, high reliability, and massive connectivity offered by 5G and…
Cooperative distributed model predictive control for embedded systems: Experiments with hovercraft formations
Gösta Stomberg, Roland Schwan, Andrea Grillo +2
This paper presents experiments for embedded cooperative distributed model predictive control applied to a team of hovercraft floating on an air hockey table. The hovercraft collec…
A continuous-time fundamental lemma and its application in data-driven optimal control
Philipp Schmitz, Timm Faulwasser, Paolo Rapisarda +1
Data-driven control of discrete-time and continuous-time systems is of tremendous research interest. In this paper, we explore data-driven optimal control of continuous-time linear…
On Dissipativity of Cross-Entropy Loss in Training ResNets
Jens Püttschneider, Timm Faulwasser
The training of ResNets and neural ODEs can be formulated and analyzed from the perspective of optimal control. This paper proposes a dissipative formulation of the training of Res…