Timm Faulwasser

Orcid: 0000-0002-6892-7406

According to our database1, Timm Faulwasser authored at least 116 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
The dynamics of a bicycle on a pump track - first results on modeling and optimal control.
Autom., January, 2024

Optimal control - analysis, algorithms and applications.
Autom., January, 2024

Exploring the Links between the Fundamental Lemma and Kernel Regression.
CoRR, 2024

Decentralized real-time iterations for distributed nonlinear model predictive control.
CoRR, 2024

2023
On a Stochastic Fundamental Lemma and Its Use for Data-Driven Optimal Control.
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

Data-Driven Multiple Shooting for Stochastic Optimal Control.
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

Alleviating the Curse of Dimensionality in Minkowski Sum Approximations of Storage Flexibility.
CoRR, 2023

Distributed Interior Point Methods for Optimization in Energy Networks.
CoRR, 2023

Optimal control of port-Hamiltonian systems: energy, entropy, and exergy.
CoRR, 2023

Approximate Dynamic Programming with Feasibility Guarantees.
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

Quantized Deep Path-following Control on a Microcontroller.
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

Local Turnpike Properties in Finite Horizon Optimal Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Optimal Control of Port-Hamiltonian Descriptor Systems with Minimal Energy Supply.
SIAM J. Control. Optim., August, 2022

OptiTrap: Optimal Trap Trajectories for Acoustic Levitation Displays.
ACM Trans. Graph., 2022

Distributed Control of Charging for Electric Vehicle Fleets Under Dynamic Transformer Ratings.
IEEE Trans. Control. Syst. Technol., 2022

Manifold turnpikes, trims, and symmetries.
Math. Control. Signals Syst., 2022

Willems' Fundamental Lemma for Linear Descriptor Systems and Its Use for Data-Driven Output-Feedback MPC.
IEEE Control. Syst. Lett., 2022

Towards data-driven stochastic predictive control.
CoRR, 2022

On Data-Driven Stochastic Output-Feedback Predictive Control.
CoRR, 2022

Data-driven MPC of descriptor systems: A case study for power networks.
CoRR, 2022

A compendium of optimization algorithms for distributed linear-quadratic MPC.
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

Decentralized non-convex optimization via bi-level SQP and ADMM.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Approximations for Optimal Experimental Design in Power System Parameter Estimation.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Optimization and control of cyber-physical systems
PhD thesis, 2021

Towards Optimality Preserving Aggregation for Scheduling Distributed Energy Resources.
IEEE Trans. Control. Netw. Syst., 2021

Partially distributed outer approximation.
J. Glob. Optim., 2021

Control of port-Hamiltonian systems with minimal energy supply.
Eur. J. Control, 2021

On a Stochastic Fundamental Lemma and Its Use for Data-Driven MPC.
CoRR, 2021

Toward Decentralized Interior Point Methods for Control.
CoRR, 2021

Teaching MPC: Which Way to the Promised Land?
CoRR, 2021

A Distributed Active Set Method for Model Predictive Control.
CoRR, 2021

Decentralized conjugate gradients with finite-step convergence.
CoRR, 2021

On the Turnpike to Design of Deep Neural Nets: Explicit Depth Bounds.
CoRR, 2021

On continuous-time infinite horizon optimal control - Dissipativity, stability, and transversality.
Autom., 2021

Inferring the adjoint turnpike property from the primal turnpike property.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

An essentially decentralized interior point method for control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Online power system parameter estimation and optimal operation.
Proceedings of the 2021 American Control Conference, 2021

2020
Decomposition of Nonconvex Optimization via Bi-Level Distributed ALADIN.
IEEE Trans. Control. Netw. Syst., 2020

Errata for "Comments on Truncation Errors for Polynomial Chaos Expansions".
IEEE Control. Syst. Lett., 2020

Turnpike Properties in Discrete-Time Mixed-Integer Optimal Control.
IEEE Control. Syst. Lett., 2020

Turnpike Properties in Optimal Control: An Overview of Discrete-Time and Continuous-Time Results.
CoRR, 2020

A Simulation Study on Turnpikes in Stochastic LQ Optimal Control.
CoRR, 2020

Convergence Certificate for Stochastic Derivative-Free Trust-Region Methods based on Gaussian Processes.
CoRR, 2020

Primal or Dual Terminal Constraints in Economic MPC? - Comparison and Insights.
CoRR, 2020

ALADIN-α - An open-source MATLAB toolbox for distributed non-convex optimization.
CoRR, 2020

PolyChaos.jl - A Julia Package for Polynomial Chaos in Systems and Control.
CoRR, 2020

A Dissipativity Characterization of Velocity Turnpikes in Optimal Control Problems for Mechanical Systems.
CoRR, 2020

Modeling and simulation of sector-coupled networks: A gas-power benchmark.
CoRR, 2020

A note on efficient computation of privileged directions in modifier adaptation.
Comput. Chem. Eng., 2020

Model compendium, data, and optimization benchmarks for sector-coupled energy systems.
Comput. Chem. Eng., 2020

Mathematical innovations fostering the energy transition - Control and optimization.
Autom., 2020

2019
Dual-Objective NMPC: Considering Economic Costs Near Manifolds.
IEEE Trans. Autom. Control., 2019

Optimal Experiment Design for AC Power Systems Admittance Estimation.
CoRR, 2019

Feasibility vs. Optimality in Distributed AC OPF - A Case Study Considering ADMM and ALADIN.
CoRR, 2019

Chance-Constrained AC Optimal Popwer Flow - A Polynomial Chaos Approach.
CoRR, 2019

Decomposition of non-convex optimization via bi-level distributed ALADIN.
CoRR, 2019

Feedback, dynamics, and optimal control in climate economics.
Annu. Rev. Control., 2019

A Comparison of Economic MPC Formulations for Thermal Building Control.
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed State Estimation for AC Power Systems using Gauss-Newton ALADIN.
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

Economic Nonlinear Model Predictive Control.
Found. Trends Syst. Control., 2018

Feedback and Optimal Control in Climate Economics.
CoRR, 2018

Towards economic NMPC for multi-stage AC optimal power flow.
CoRR, 2018

Reliable Dispatch of Renewable Generation via Charging of Dynamic PEV Populations.
CoRR, 2018

Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances.
CoRR, 2018

The Price of Uncertainty: Chance-constrained OPF vs. In-hindsight OPF.
CoRR, 2018

A Generalized Framework for Chance-constrained Optimal Power Flow.
CoRR, 2018

Distributed Optimal Power Flow using ALADIN.
CoRR, 2018

Active directional modifier adaptation for real-time optimization.
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

Optimal Load Sharing for Serial Compressors via Modifier Adaptation.
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

Distributed Stochastic AC Optimal Power Flow based on Polynomial Chaos Expansion.
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

A model for brain life history evolution.
PLoS Comput. Biol., 2017

Exact turnpike properties and economic NMPC.
Eur. J. Control, 2017

Comments on Truncation Errors for Polynomial Chaos Expansions.
CoRR, 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

NMPC with economic objectives on target manifolds.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Nonlinear Model Predictive Control for Constrained Output Path Following.
IEEE Trans. Autom. Control., 2016

Time-optimal path-following operation in the presence of uncertainty.
Proceedings of the 15th European Control Conference, 2016

Solving stochastic AC power flow via polynomial chaos expansion.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

Optimal load sharing of parallel compressors via modifier adaptation.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
Ansätze zur modellprädiktiven Regelung der longitudinalen Strahldynamik in Synchrotronen.
Autom., 2015

On the design of economic NMPC based on approximate turnpike properties.
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
Constrained reachability and trajectory generation for flat systems.
Autom., 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

Predictive control for longitudinal beam dynamics in heavy ion synchrotrons.
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
Implementation aspects of model predictive control for embedded systems.
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
Event-based reduced-attention predictive control for nonlinear uncertain systems.
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

Event-based model predictive control for Networked Control Systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Model predictive path-following for constrained nonlinear systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Towards pervasive computing in health care - A literature review.
BMC Medical Informatics Decis. Mak., 2008


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