Timm Faulwasser

Professor

Technische Universität Dortmund

Germany

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Professor Timm Faulwasser is a faculty member at TU Dortmund University in Germany. His research focuses on stochastic control, dynamic optimization, and data-driven methodologies, as evidenced by his recent publications. Notable topics include stochastic predictive control, dissipativity notions, and optimal control in port-Hamiltonian systems. He actively contributes to advancements in both theoretical frameworks and practical applications within the field of control engineering.

Timm Faulwasser

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Articles (24)

On the Relationship Between Stochastic Turnpike and Dissipativity Notions

On Data-Driven Stochastic Output-Feedback Predictive Control

Turnpike and Dissipativity in Generalized Discrete-Time Stochastic Linear-Quadratic Optimal Control

Hidden Regularity in Singular Optimal Control of port-Hamiltonian Systems

Approximate Dynamic Programming With Feasibility Guarantees

Exact Time-Varying Turnpikes for Dynamic Operation of District Heating Networks

Alleviating the Curse of Dimensionality in Minkowski Sum Approximations of Storage Flexibility

5G as Communication Platform for Solar Tower Plants

Towards real-time capable optimal control for fuel cell vehicles using hierarchical economic MPC

Exploring the Links Between the Fundamental Lemma and Kernel Regression

Optimal control - analysis, algorithms and applications,Optimale Steuerung und Regelung - Analyse, Algorithmen und Anwendungen

The dynamics of a bicycle on a pump track - first results on modeling and optimal control,Die Dynamik eines Fahrrads auf einem Pumptrack - Erste Ergebnisse zur Modellierung und Optimalsteuerung

On the turnpike to design of deep neural networks: Explicit depth bounds

Alleviating the Curse of Dimensionality in Minkowski Sum Approximations of Storage Flexibility

Cooperative distributed MPC via decentralized real-time optimization: Implementation results for robot formations

Towards data‐driven stochastic predictive control

Behavioral theory for stochastic systems? A data-driven journey from Willems to Wiener and back again

Data-Driven Multiple Shooting for Stochastic Optimal Control

Distributionally Robust Uncertainty Quantification via Data-Driven Stochastic Optimal Control

NMPC in active subspaces: Dimensionality reduction with recursive feasibility guarantees

Distributed Control of Charging for Electric Vehicle Fleets Under Dynamic Transformer Ratings

Aggregation of Demand-Side Flexibilities: A Comparative Study of Approximation Algorithms

A compendium of optimization algorithms for distributed linear-quadratic MPC,Ein Optimierungskompendium für die verteilte linear-quadratische modellprädiktive Regelung

ALADIN-α—An open-source MATLAB toolbox for distributed non-convex optimization

Collaborators (7)

Jonas Schießl

Henrik Ebel

Friedrich Philipp

Peter Eberhard

Markus Preißinger

Mads Almassalkhi

Karl Worthmann

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