Characterizing the learning dynamics in extremum seeking: The role of gradient averaging and non-convexity. - Stefan Wildhagen; Simon Michalowsky; Jan Feiling; Christian Ebenbauer (CDC, 2018)

Characterizing the learning dynamics in extremum seeking. - Stefan Wildhagen; Simon Michalowsky; Jan Feiling; Christian Ebenbauer (CoRR, 2018)

Optimal routing and scheduling of complemental flows in converged networks. - Jonathan Falk; Frank Dürr; Steffen Linsenmayer; Stefan Wildhagen; Ben W. Carabelli; Kurt Rothermel (RTNS, 2019)

Economic MPC using a Cyclic Horizon with Application to Networked Control Systems. - Stefan Wildhagen; Matthias A. Müller 001; Frank Allgöwer (CoRR, 2019)

A Resource-Aware Approach to Self-Triggered Model Predictive Control. - Stefan Wildhagen; Colin N. Jones; Frank Allgöwer (CoRR, 2019)

Saving Communication Resources in Control over a Token Bucket Network. - Florian Jaumann; Stefan Wildhagen; Frank Allgöwer (CoRR, 2019)

Predictive Control Over a Dynamical Token Bucket Network. - Stefan Wildhagen; Matthias A. Müller 001; Frank Allgöwer (IEEE Control. Syst. Lett., 2019)

Scheduling and control over networks using MPC with time-varying terminal ingredients. - Stefan Wildhagen; Frank Allgöwer (ACC, 2020)

Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC. - Ying Zhao Lian; Stefan Wildhagen; Yuning Jiang 002; Boris Houska; Frank Allgöwer; Colin N. Jones (CDC, 2020)

Rollout scheduling and control for disturbed systems via tube MPC. - Stefan Wildhagen; Frank Allgöwer (CDC, 2020)

Data-driven analysis and control of continuous-time systems under aperiodic sampling. - Julian Berberich; Stefan Wildhagen; Michael Hertneck; Frank Allgöwer (CoRR, 2020)

Multi-party computation enables secure polynomial control based solely on secret-sharing. - Sebastian Schlor; Michael Hertneck; Stefan Wildhagen; Frank Allgöwer (CDC, 2021)

Improved stability conditions for systems under aperiodic sampling: model- and data-based analysis. - Stefan Wildhagen; Julian Berberich; Matthias Hirche; Frank Allgöwer (CDC, 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)

Multi-party computation for secure polynomial control. - Sebastian Schlor; Michael Hertneck; Stefan Wildhagen; Frank Allgöwer (CoRR, 2021)

Rollout event-triggered control: Reconciling event- and time-triggered control. - Stefan Wildhagen; Frank Allgöwer (CoRR, 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)

Self-triggered MPC robust to bounded packet loss via a min-max approach*. - Stefan Wildhagen; Matthias Pezzutto; Luca Schenato 001; Frank Allgöwer (CDC, 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 001; Frank Allgöwer (CoRR, 2022)

Dynamic Deterministic Quality of Service Model with Behavior-Adaptive Latency Bounds. - Robin Laidig; Frank Dürr; Kurt Rothermel; Stefan Wildhagen; Frank Allgöwer (RTCSA, 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., 2023)

Uncertainties and Output Feedback in Rollout Event-Triggered Control. - Stefan Wildhagen; Frank Allgöwer (IEEE Trans. Control. Netw. Syst., 2023)