![](https://dcn.nat.fau.eu/wp-content/uploads/FAUsummaryposter-01apr2023_img-300x200.png)
Poster (Summary) FAU DCN-AvH
Summary poster (2022), Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU - Friedrich ...
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Projects poster
Project poster (2022), Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU - Friedrich ...
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Sharp estimates for the cheeger constant in the planar case
• Gloria Paoli, Friedrich-Alexander-Universität Erlangen–Nürnberg • Ilias Ftouhi, Friedrich-Alexander-Universität Erlangen–Nürnberg • Alba Lia Masiello, Università degli Studi di Napoli Federico ...
![](https://dcn.nat.fau.eu/wp-content/uploads/FAU-FtouhiZuazua-poster-img-300x200.png)
Optimal shape design of sensors via a geometric approach
• Ilias Ftouhi, Friedrich-Alexander-Universität Erlangen–Nürnberg • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Optimal shape design of sensors via a geometric approach View ...
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The sheep herding game: Can you beat the algorithm?
• Daniël Veldman, Friedrich-Alexander-Universität Erlangen–Nürnberg The sheep herding game: Can you beat the algorithm? View this poster ...
![](https://dcn.nat.fau.eu/wp-content/uploads/FAUposter-GugatSchuster_poster-300x200.png)
Nodal control and the Turnpike phenomenon
• Martin Gugat, Friedrich-Alexander-Universität Erlangen–Nürnberg • Rüdiger Schultz, Universität Duisburg-Essen • Michael Schuster, Friedrich-Alexander-Universität Erlangen–Nürnberg Nodal control and the Turnpike ...
![](https://dcn.nat.fau.eu/wp-content/uploads/FAUposter-KoZuazua-300x200.png)
Model predictive control with random batch methods for a guiding problem
• Dongnam Ko, Catholic University of Korea • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Model predictive control with random batch methods for ...
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Sparse Initial Source Identification for a Diffusion – Advection Equation
• Umberto Biccari, University of Deusto | DeustoCCM • Yongcun Song, Friedrich-Alexander-Universität Erlangen–Nürnberg • Yuan Xiaoming, The University of Hong ...
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Non-local PDE and Control
• Umberto Biccari, University of Deusto | DeustoCCM • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Non-local PDE and Control View this poster ...
![](https://dcn.nat.fau.eu/wp-content/uploads/FAUposter-PighinZuazua-img-300x200.png)
Long Time Control
• Dario Pighin, UAM | DeustoCCM • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Long Time Control View this poster ...
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Boundary Controllability of Nodal Profile for Hyperbolic Systems
• Yue Wang, Friedrich-Alexander-Universität Erlangen–Nürnberg • Günter Leugering, Friedrich-Alexander-Universität Erlangen–Nürnberg • Charlotte Rodríguez, Friedrich-Alexander-Universität Erlangen–Nürnberg • Tatsien Li, Fudan University ...
![](https://dcn.nat.fau.eu/wp-content/uploads/FAU-poster-RodriguezLeugeringWang-img-300x200.png)
Control and Stabilization of Geometrically Exact Beams C
• Charlotte Rodríguez, Friedrich-Alexander-Universität Erlangen–Nürnberg • Günter Leugering, Friedrich-Alexander-Universität Erlangen–Nürnberg • Yue Wang, Friedrich-Alexander-Universität Erlangen–Nürnberg Control and Stabilization of Geometrically ...
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Inverse Design for Conservation Laws and Hamilton-Jacobi Equations
• Carlos Esteve, UAM | DeustoCCM • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Inverse Design for Conservation Laws and Hamilton-Jacobi Equations View ...
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Machine learning via control of Neural ODEs
• Borjan Geshkovski, UAM | DeustoCCM • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Machine learning via control of Neural ODEs View this ...
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Sharp Estimates in Defective Evolution Equations: From ODEs to Kinetic Equations with Uncertainties
• Tobias Wöhrer, Friedrich-Alexander-Universität Erlangen–Nürnberg • Anton Arnold, TU Vienna • Shi Jin, Shanghai Jiao Tong University Sharp Estimates in ...
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The Stochastic FHN Neuron Model in the Excitable Regime Possesses a Global Random Pullback Attractor
• Marius Yamakou, Friedrich-Alexander-Universität Erlangen–Nürnberg The Stochastic FHN Neuron Model in the Excitable Regime Possesses a Global Random Pullback Attractor ...
![](https://dcn.nat.fau.eu/wp-content/uploads/FAUposter-MeinlschmidtRehber-img-300x200.png)
Parabolic Problems Arising in Real-World Applications
• Hannes Meinlschmidt, Friedrich-Alexander-Universität Erlangen–Nürnberg • Joachim Rehber, Weierstrass Institute Parabolic Problems Arising in Real-World Applications View this poster ...
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The Singular Limit of Nonlocal Conservation Laws to Local Conservation Laws
• Giuseppe Maria Coclite, Polytechnic University of Bari • Jean-Michel Coron, Université Pierre et Marie Curie • Nicola De Nitti, ...
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System Identification by Koopman Operators: Quantitative Analysis
• Christophe Zhang, Friedrich-Alexander-Universität Erlangen–Nürnberg • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg System Identification by Koopman Operators: Quantitative Analysis View this poster ...
![](https://dcn.nat.fau.eu/wp-content/uploads/FAU-poster-veldman-zuazua-img-300x200.png)
Stochastic Simulation and Optimization for Dynamical Systems
• Daniël Veldman, Friedrich-Alexander-Universität Erlangen–Nürnberg • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Stochastic Simulation and Optimization for Dynamical Systems View this poster ...
![](https://dcn.nat.fau.eu/wp-content/uploads/FAU-poster-svenWMartinG-17feb2021-img-300x200.png)
Observer-based Data Assimilation in Time-dependent Flows in Gas Networks
• Martin Gugat, Friedrich-Alexander-Universität Erlangen–Nürnberg • Jan Giesselmann, Technische Universität Darmstadt • Teresa Kunkel, Technische Universität Darmstadt • Sven Weiland, ...
![](https://dcn.nat.fau.eu/wp-content/uploads/FAUposter-alexeiGazca-img-300x200.png)
Semismooth Newton Method for Viscoplastic Flow
• Alexei Gazca, Friedrich-Alexander-Universität Erlangen–Nürnberg Semismooth Newton Method for Viscoplastic Flow View this poster ...
![](https://dcn.nat.fau.eu/wp-content/uploads/FAUposter-micheleSpinola-img-300x200.png)
Nonlocal Conservation Laws (NLCL) – Modeling, Simulation and Optimal Control
• Alexander Keimer, UC Berkeley • Günter Leugering, Friedrich-Alexander-Universität Erlangen – Nürnberg • Lukas Pflug, Friedrich-Alexander-Universität Erlangen – Nürnberg • ...