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Stefan Wildhagen
Stefan Wildhagen
Institute for Systems Theory and Automatic Control, University of Stuttgart
Verified email at ist.uni-stuttgart.de
Title
Cited by
Cited by
Year
Data-driven analysis and control of continuous-time systems under aperiodic sampling
J Berberich, S Wildhagen, M Hertneck, F Allgöwer
IFAC-PapersOnLine 54 (7), 210-215, 2021
272021
Predictive control over a dynamical token bucket network
S Wildhagen, MA Müller, F Allgöwer
IEEE Control Systems Letters 3 (4), 859-864, 2019
162019
Data-driven analysis and controller design for discrete-time systems under aperiodic sampling
S Wildhagen, J Berberich, M Hertneck, F Allgöwer
IEEE Transactions on Automatic Control, 2022
142022
Rollout scheduling and control for disturbed systems via tube MPC*
S Wildhagen, F Allgöwer
2020 59th IEEE Conference on Decision and Control (CDC), 3145-3150, 2020
102020
Scheduling and control over networks using MPC with time-varying terminal ingredients: extended version
S Wildhagen, F Allgöwer
arXiv preprint arXiv:1911.10780, 2019
9*2019
Economic MPC using a cyclic horizon with application to Networked Control Systems
S Wildhagen, MA Müller, F Allgöwer
IFAC-PapersOnLine 52 (16), 502-507, 2019
92019
Multi-party computation enables secure polynomial control based solely on secret-sharing
S Schlor, M Hertneck, S Wildhagen, F Allgöwer
2021 60th IEEE conference on decision and control (CDC), 4882-4887, 2021
82021
Resource-aware asynchronous multi-agent coordination via self-triggered MPC
Y Lian, S Wildhagen, Y Jiang, B Houska, F Allgöwer, CN Jones
2020 59th IEEE Conference on Decision and Control (CDC), 685-690, 2020
82020
A Resource-Aware Approach to Self-Triggered Model Predictive Control: Extended Version
S Wildhagen, CN Jones, F Allgöwer
arXiv preprint arXiv:1911.10799, 2019
8*2019
Data-driven estimation of the maximum sampling interval: analysis and controller design for discrete-time systems
S Wildhagen, J Berberich, M Hertneck, F Allgöwer
arXiv preprint arXiv:2101.00903, 2021
72021
Controller and triggering mechanism co-design for control over time-slotted networks
S Linsenmayer, BW Carabelli, S Wildhagen, K Rothermel, F Allgöwer
IEEE Transactions on Control of Network Systems 8 (1), 222-232, 2020
62020
Characterizing the learning dynamics in extremum seeking: The role of gradient averaging and non-convexity
S Wildhagen, S Michalowsky, J Feiling, C Ebenbauer
2018 IEEE Conference on Decision and Control (CDC), 21-26, 2018
62018
Improved stability conditions for systems under aperiodic sampling: model-and data-based analysis
S Wildhagen, J Berberich, M Hirche, F Allgöwer
2021 60th IEEE Conference on Decision and Control (CDC), 5795-5801, 2021
52021
Optimal routing and scheduling of complemental flows in converged networks
J Falk, F Dürr, S Linsenmayer, S Wildhagen, B Carabelli, K Rothermel
Proceedings of the 27th International Conference on Real-Time Networks and …, 2019
52019
Uncertainties and output feedback in rollout event-triggered control
S Wildhagen, F Allgower
IEEE Transactions on Control of Network Systems, 2022
32022
Self-triggered MPC robust to bounded packet loss via a min-max approach: extended version
S Wildhagen, M Pezzutto, L Schenato, F Allgöwer
arXiv preprint arXiv:2204.00339, 2022
22022
Dynamic Deterministic Quality of Service Model with Behavior-Adaptive Latency Bounds
R Laidig, F Dürr, K Rothermel, S Wildhagen, F Allgöwer
2023 IEEE 29th International Conference on Embedded and Real-Time Computing …, 2023
12023
Self-triggered MPC robust to bounded packet loss via a min-max approach*
S Wildhagen, M Pezzutto, L Schenato, F Allgöwer
2022 IEEE 61st Conference on Decision and Control (CDC), 7670-7675, 2022
12022
Rollout event-triggered control: reconciling event-and time-triggered control
S Wildhagen, F Dürr, F Allgöwer
at-Automatisierungstechnik 70 (4), 331-342, 2022
12022
Rollout scheduling and control for disturbed systems via tube MPC: extended version
S Wildhagen, F Allgöwer
arXiv preprint arXiv:2004.01605, 2020
12020
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Articles 1–20