2 citations · 3 across the 7 of their papers we have counts for
7 papers
Predictions and Decision Making for Resilient Intelligent Sustainable Energy Systems
Martin Braun, Christian Gruhl, Christian A. Hans +7
Future energy systems are subject to various uncertain influences. As resilient systems they should maintain a constantly high operational performance whatever happens. We explore…
On the Design of Limit Cycles of Planar Switching Affine Systems
Nils Hanke, Olaf Stursberg
In the context of studying periodic processes, this paper investigates first under which conditions switching affine systems in the plane generate stable limit cycles. Based on the…
On Optimal Synchronization of Diffusively Coupled Heterogeneous Van der Pol Oscillators
Tabea Trummel, Zonglin Liu, Olaf Stursberg
This paper proposes a novel method to achieve and preserve synchronization for a set of connected heterogeneous Van der Pol oscillators. Unlike the state-of-the-art synchronization…
Polytopic Input Constraints in Learning-Based Optimal Control Using Neural Networks
Lukas Markolf, Olaf Stursberg
This work considers artificial feed-forward neural networks as parametric approximators in optimal control of discrete-time systems. Two different approaches are introduced to take…
Uncertain AoI in Stochastic Optimal Control of Networked and Constrained LTI Systems
Jannik Hahn, Olaf Stursberg
This paper addresses finite-time horizon optimal control of single-loop networked control systems with stochastically modeled communication channel and disturbances. To cope with t…
Using AoI Forecasts in Communicating and Robust Distributed Model-Predictive Control
Jannik Hahn, Richard Schoeffauer, Gerhard Wunder +1
In order to enhance the performance of cyber-physical systems, this paper proposes the integrated de-sign of distributed controllers for distributed plants andthe control of the co…
Distributed MPC with Prediction of Time-Varying Communication Delay
Jannik Hahn, Richard Schoeffauer, Gerhard Wunder +1
The novel idea presented in this paper is to interweave distributed model predictive control with a reliable scheduling of the information that is interchanged between local contro…