Stefan Wildhagen

According to our database, Stefan Wildhagen authored at least 23 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Uncertainties and Output Feedback in Rollout Event-Triggered Control.

Stefan Wildhagen, Frank Allgöwer

IEEE Trans. Control. Netw. Syst., September, 2023

Data-Driven Analysis and Controller Design for Discrete-Time Systems Under Aperiodic Sampling.

Stefan Wildhagen, Julian Berberich, Michael Hertneck, Frank Allgöwer

IEEE Trans. Autom. Control., June, 2023

Dynamic Deterministic Quality of Service Model with Behavior-Adaptive Latency Bounds.

Robin Laidig, Frank Dürr, Kurt Rothermel, Stefan Wildhagen, Frank Allgöwer

Proceedings of the 29th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2023

2022

Self-triggered MPC robust to bounded packet loss via a min-max approach.

Stefan Wildhagen, Matthias Pezzutto, Luca Schenato, Frank Allgöwer

CoRR, 2022

Rollout event-triggered control: reconciling event- and time-triggered control.

Stefan Wildhagen, Frank Dürr, Frank Allgöwer

Autom., 2022

Self-triggered MPC robust to bounded packet loss via a min-max approach^*.

Stefan Wildhagen, Matthias Pezzutto, Luca Schenato, Frank Allgöwer

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Controller and Triggering Mechanism Co-design for Control Over Time-Slotted Networks.

Steffen Linsenmayer, Ben W. Carabelli, Stefan Wildhagen, Kurt Rothermel, Frank Allgöwer

IEEE Trans. Control. Netw. Syst., 2021

Rollout event-triggered control: Reconciling event- and time-triggered control.

Stefan Wildhagen, Frank Allgöwer

CoRR, 2021

Multi-party computation for secure polynomial control.

Sebastian Schlor, Michael Hertneck, Stefan Wildhagen, Frank Allgöwer

CoRR, 2021

Data-driven estimation of the maximum sampling interval: analysis and controller design for discrete-time systems.

Stefan Wildhagen, Julian Berberich, Michael Hertneck, Frank Allgöwer

CoRR, 2021

Improved stability conditions for systems under aperiodic sampling: model- and data-based analysis.

Stefan Wildhagen, Julian Berberich, Matthias Hirche, Frank Allgöwer

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Multi-party computation enables secure polynomial control based solely on secret-sharing.

Sebastian Schlor, Michael Hertneck, Stefan Wildhagen, Frank Allgöwer

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Data-driven analysis and control of continuous-time systems under aperiodic sampling.

Julian Berberich, Stefan Wildhagen, Michael Hertneck, Frank Allgöwer

CoRR, 2020

Rollout scheduling and control for disturbed systems via tube MPC.

Stefan Wildhagen, Frank Allgöwer

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC.

Ying Zhao Lian, Stefan Wildhagen, Yuning Jiang, Boris Houska, Frank Allgöwer, Colin N. Jones

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Scheduling and control over networks using MPC with time-varying terminal ingredients.

Stefan Wildhagen, Frank Allgöwer

Proceedings of the 2020 American Control Conference, 2020

2019

Predictive Control Over a Dynamical Token Bucket Network.

Stefan Wildhagen, Matthias A. Müller, Frank Allgöwer

IEEE Control. Syst. Lett., 2019

Saving Communication Resources in Control over a Token Bucket Network.

Florian Jaumann, Stefan Wildhagen, Frank Allgöwer

CoRR, 2019

A Resource-Aware Approach to Self-Triggered Model Predictive Control.

Stefan Wildhagen, Colin N. Jones, Frank Allgöwer

CoRR, 2019

Economic MPC using a Cyclic Horizon with Application to Networked Control Systems.

Stefan Wildhagen, Matthias A. Müller, Frank Allgöwer

CoRR, 2019

Optimal routing and scheduling of complemental flows in converged networks.

Jonathan Falk, Frank Dürr, Steffen Linsenmayer, Stefan Wildhagen, Ben W. Carabelli, Kurt Rothermel

Proceedings of the 27th International Conference on Real-Time Networks and Systems, 2019

2018

Characterizing the learning dynamics in extremum seeking.

Stefan Wildhagen, Simon Michalowsky, Jan Feiling, Christian Ebenbauer

CoRR, 2018

Characterizing the learning dynamics in extremum seeking: The role of gradient averaging and non-convexity.

Stefan Wildhagen, Simon Michalowsky, Jan Feiling, Christian Ebenbauer

Proceedings of the 57th IEEE Conference on Decision and Control, 2018