Timm Faulwasser
Orcid: 0000-0002-6892-7406
According to our database1,
Timm Faulwasser
authored at least 129 papers
between 2008 and 2024.
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Bibliography
2024
Alleviating the Curse of Dimensionality in Minkowski Sum Approximations of Storage Flexibility.
IEEE Trans. Smart Grid, November, 2024
The dynamics of a bicycle on a pump track - first results on modeling and optimal control.
Autom., January, 2024
A continuous-time fundamental lemma and its application in data-driven optimal control.
Syst. Control. Lett., 2024
Syst. Control. Lett., 2024
IFAC J. Syst. Control., 2024
Data-driven uncertainty propagation for stochastic predictive control of multi-energy systems.
Eur. J. Control, 2024
IEEE Control. Syst. Lett., 2024
Tutorial Problems for Nonsmooth Dynamics and Optimal Control: Ski Jumping and Accelerating a Bike Without Pedaling.
IEEE Control. Syst. Lett., 2024
Data-Driven Predictive Control of Bilinear HVAC Dynamics - An Experimental Case Study.
IEEE Control. Syst. Lett., 2024
Large problems are not necessarily hard: A case study on distributed NMPC paying off.
CoRR, 2024
Towards Event-Triggered NMPC for Efficient 6G Communications: Experimental Results and Open Problems.
CoRR, 2024
Cooperative distributed model predictive control for embedded systems: Experiments with hovercraft formations.
CoRR, 2024
Decentralized real-time iterations for distributed nonlinear model predictive control.
CoRR, 2024
Data-Driven Proactive Uplink Slicing Enabling Real-Time Control within an Open RAN Testbed.
Proceedings of the IEEE INFOCOM 2024, 2024
Towards Predictive Path-Following Control using Deep Neural Networks and Path Primitives.
Proceedings of the European Control Conference, 2024
2023
IEEE Trans. Autom. Control., October, 2023
Behavioral theory for stochastic systems? A data-driven journey from Willems to Wiener and back again.
Annu. Rev. Control., January, 2023
Distributionally Robust Uncertainty Quantification via Data-Driven Stochastic Optimal Control.
IEEE Control. Syst. Lett., 2023
IEEE Control. Syst. Lett., 2023
Guest Editorial Introduction to the IEEE Control Systems Letters Special Section on Data-Driven Analysis and Control.
IEEE Control. Syst. Lett., 2023
Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty.
CoRR, 2023
A Polynomial Chaos Approach to Stochastic LQ Optimal Control: Error Bounds and Infinite-Horizon Results.
CoRR, 2023
Cooperative Distributed MPC via Decentralized Real-Time Optimization: Implementation Results for Robot Formations.
CoRR, 2023
NMPC in active subspaces: Dimensionality reduction with recursive feasibility guarantees.
Autom., 2023
Data-driven Stochastic Output-Feedback Predictive Control: Recursive Feasibility through Interpolated Initial Conditions.
Proceedings of the Learning for Dynamics and Control Conference, 2023
Proceedings of the European Control Conference, 2023
Pathwise Turnpike and Dissipativity Results for Discrete-Time Stochastic Linear-Quadratic Optimal Control Problems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
SIAM J. Control. Optim., August, 2022
ACM Trans. Graph., 2022
Distributed Control of Charging for Electric Vehicle Fleets Under Dynamic Transformer Ratings.
IEEE Trans. Control. Syst. Technol., 2022
Willems' Fundamental Lemma for Linear Descriptor Systems and Its Use for Data-Driven Output-Feedback MPC.
IEEE Control. Syst. Lett., 2022
Autom., 2022
Software-Defined Networking driven Time-Sensitive Networking for Mixed-Criticality Control Applications.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Towards Optimality Preserving Aggregation for Scheduling Distributed Energy Resources.
IEEE Trans. Control. Netw. Syst., 2021
Eur. J. Control, 2021
On continuous-time infinite horizon optimal control - Dissipativity, stability, and transversality.
Autom., 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 American Control Conference, 2021
2020
IEEE Trans. Control. Netw. Syst., 2020
IEEE Control. Syst. Lett., 2020
IEEE Control. Syst. Lett., 2020
Turnpike Properties in Optimal Control: An Overview of Discrete-Time and Continuous-Time Results.
CoRR, 2020
Convergence Certificate for Stochastic Derivative-Free Trust-Region Methods based on Gaussian Processes.
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
A Dissipativity Characterization of Velocity Turnpikes in Optimal Control Problems for Mechanical Systems.
CoRR, 2020
CoRR, 2020
Comput. Chem. Eng., 2020
Model compendium, data, and optimization benchmarks for sector-coupled energy systems.
Comput. Chem. Eng., 2020
Autom., 2020
2019
IEEE Trans. Autom. Control., 2019
Feasibility vs. Optimality in Distributed AC OPF - A Case Study Considering ADMM and ALADIN.
CoRR, 2019
Annu. Rev. Control., 2019
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Hierarchical distributed ADMM for predictive control with applications in power networks.
IFAC J. Syst. Control., 2018
CoRR, 2018
Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances.
CoRR, 2018
Comput. Chem. Eng., 2018
A distributed feasible-side convergent modifier-adaptation scheme for interconnected systems, with application to gas-compressor stations.
Comput. Chem. Eng., 2018
Optimal power flow: an introduction to predictive, distributed and stochastic control challenges.
Autom., 2018
Proceedings of the 16th European Control Conference, 2018
Real-Time optimization of Uncertain Process Systems via Modifier Adaptation and Gaussian Processes.
Proceedings of the 16th European Control Conference, 2018
Assessment of a multi-agent mixed-integer optimization algorithm for battery scheduling.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot.
IEEE Trans. Control. Syst. Technol., 2017
Modifier adaptation with guaranteed feasibility in the presence of gradient uncertainty.
Comput. Chem. Eng., 2017
On turnpike and dissipativity properties of continuous-time optimal control problems.
Autom., 2017
Solving optimal power flow with non-Gaussian uncertainties via polynomial chaos expansion.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
IEEE Trans. Autom. Control., 2016
Proceedings of the 15th European Control Conference, 2016
Proceedings of the 2016 IEEE Conference on Control Applications, 2016
Proceedings of the 2016 IEEE Conference on Control Applications, 2016
2015
Ansätze zur modellprädiktiven Regelung der longitudinalen Strahldynamik in Synchrotronen.
Autom., 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Nonlinear model predictive control approach for structural load mitigation of wind turbines in presence of wind measurement uncertainties.
Proceedings of the 2015 5th Australian Control Conference (AUCC), Gold Coast, 2015
On the effect of enforcing stability in model predictive control for gust load alleviation.
Proceedings of the American Control Conference, 2015
Run-to-run disturbance rejection for feedforward path following of an adaptively controlled unmanned helicopter.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015
2014
Turnpike and dissipativity properties in dynamic real-time optimization and economic MPC.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Offset-free output feedback predictive control for longitudinal beam dynamics in heavy ion synchrotrons.
Proceedings of the 4th Australian Control Conference, AuCC 2014, Canberra, 2014
Proceedings of the 2014 IEEE Conference on Control Applications, 2014
2013
Predictive path-following control: Concept and implementation for an industrial robot.
Proceedings of the IEEE International Conference on Control Applications, 2013
2012
Proceedings of the American Control Conference, 2012
2011
A model predictive control approach to trajectory tracking problems via time-varying level sets of Lyapunov functions.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
Proceedings of the 2010 IEEE International Symposium on Computer-Aided Control System Design, 2010
2009
Prädiktive Regelung nichtlinearer Systeme unter asynchronen Mess- und Stellsignalen (Nonlinear Predictive Control based on Asynchronous Measurement and Control Signals).
Autom., 2009
Ein prädiktiver Ansatz zur Lösung nichtlinearer Pfadverfolgungsprobleme unter Beschränkungen (A Predictive Solution to Nonlinear Path-Following Problems Subject to Constraints).
Autom., 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
BMC Medical Informatics Decis. Mak., 2008