Date: Fri. July 08, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: Quantitative rapid stabilization of some PDE models Speaker: Prof. Dr. Shengquan Xiang Affiliation: Mathematical Institute for Data Science at Johns Hopkins University (USA) Abstract. […]
darlis.dcn
440 posts
Date: Tue. July 05, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship Title: Quasi-reversibility methods of optimal control for ill-posed final value diffusion equations Speaker: Visitor scientist Prof. Dr. Mahamadi Warma Affiliation: George Mason University (USA) Abstract. We consider optimal control problems […]
Date: Fri. July 1, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Mini-workshop “Recent Advances in Analysis and Control” 10:00H Alejandro Aceves, Southern Methodist University “Optics with fractional diffraction” Slides Abstract. Advances in optics many times rely […]
Date: Wed. June 22, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Physics-inspired equivariant machine learning Speaker: Prof. Dr. Soledad Villar Affiliation: Mathematical Institute for Data Science at Johns Hopkins University (USA) Abstract. There has been enormous […]
Date: Mon. June 20, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Mini-workshop “Recent Advances in Analysis and Control” *Hybrid event (online & on-site) Recording/Video: (available soon) […]
The code implements the gradient regularization method of robust training in the setting of neural ODEs. Various jupyter notebooks are included that generate plots comparing standard to robust training for 2d point clouds. Code: A good starting point is robustness_plots.ipynb Code is based on GitHub: borjanG : 2021-dynamical-systems that uses […]
Date: Tue. June 14, 2022 Organized by: CIRM, Centre International de Rencontres Mathématiques (Marseille, France) Title: Optimal design of sensors and actuators Speaker: Our Head Prof. Enrique Zuazua Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Our Head Enrique Zuazua talked about “Optimal design of sensors and actuators” at the Theoretical and Numerical Trends […]
Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer semester 2021 This course provides a practical introduction to some of the most commonly used discretization methods for PDEs (finite differences and finite elements) and their implementation in MATLAB. It also covers some of the basics of […]
Date: Fri. June 10, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Deep redatuming for PDE and inverse problems Speaker: Prof. Dr. Laurent Demanet Affiliation: MIT – Massachusetts Institute of Technology (USA) Abstract. Neural networks have been […]
Doctoral School of Information and Biomedical Technologies Polish Academy of Sciences: Modeling, Robust Design and Control of Gas Networks Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Systems Research Institute of the Polish Academy of Sciences (Warsaw, Poland) Duration: 2022 – now Simulation and Optimization on Finite Graphs is considered for the example of […]
Date: Wed. May 25, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Mini-workshop “Calculus of Variations and Functional Inequalities” 10:30H Tobias König, Institut de Mathématiques de Jussieu, Paris […]
Date: Tue. May 24, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Mini-workshop ““Model Reduction and Control” 15:00H Sebastian Peitz, Paderborn University (Universität Paderborn) “Efficient data-driven prediction […]
Date: Sat. May 21, 2022 18:00H – 00:00H Title: #NdW22 Long Night of Sciences (Lange Nacht der Wissenschaft) On Saturday May 21th, 2022 the #NdW22 “Lange Nacht der Wissenschaften” (Long Night of Sciences) took place in Erlangen, Fürth, and Nürnberg and our FAU DCN-AvH, Chair for Dynamics, Control, and Numerics […]
Date: Thu. May 19, 2022 Organized by: Durham University, Seminars in Mathematical Sciences Title: Optimal Control Design for Fluid Mixing: from Open-Loop to Closed-Loop Speaker: Visitor scientist Prof. Dr. Weiwei Hu Affiliation: University of Georgia (USA) Abstract. The question of what velocity fields effectively enhance or prevent transport and mixing, […]
Date: Wed. May 11, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Some observations on the turnpike property and optimal actuator design Speaker: Dr. Borjan Geshkovski Affiliation: MIT – Massachusetts Institute of Technology (USA) Abstract. The turnpike […]
Uniform Turnpike Property 1 Introduction In this post, we analyze a heat equation with rapidly oscillating coefficients dependent on a parameter , with a distributed control. We show that the uniform null controllability implies the uniform turnpike property, i.e., the turnpike property with constants independent of the -parameter. The main […]
Date: Mon. April 25, 2022 Organized by: BAYLAT, Bayerisches Hochschulzentrum für Lateinamerika Title: “Visit of the Embassy of Uruguay in Erlangen, Bavaria (Germany)” On Monday April 25, our Head Prof. Enrique Zuazua presented an overview on our FAU DCN-AvH Chair for Dynamics, Control and Numerics at Friedrich-Alexander-Universität Erlangen-Nürnberg during the […]
Approximating Steady-State Maxwell’s Equations via Physics-Informed Neural Networks (Applications are welcome for the research internship positions for a Master thesis) Project No. 5500168 Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg, Fraunhofer IISB (Erlangen) Supported by the FAUeti, Emerging Talents Initiative at Friedrich-Alexander-Universität Erlangen-Nürnberg Duration: 2022 – 2024 In recent years, Physics-Informed Neural Networks (PINNs) […]
Date: Fri. April 29, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Robust Protection against Uncertainties in Discrete-Continuous Optimization Speaker: Prof. Dr. Frauke Liers Affiliation: FAU MoD Research Center for Mathematics of Data. Department of Data Science […]
Modeling, Simulation and Optimization (practical course) Professors: Enrique Zuazua, Daniël Veldman Period: Summer Semester 2021/2022 Date: April 25, 2022 to July 31, 2022 ECTS: 05 This course at FAU StudON: https://www.studon.fau.de/studon/goto.php?target=crs_4366861
Course: Modeling and Analysis in Continuum Mechanics 2 Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2021/2022 summer semester Date: April – July 2022 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Course: Scalar Conservation Laws Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2021/2022 summer semester Date: April – July 2022 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Course: Control, Machine Learning and Numerics (2022) Lecturers: Enrique Zuazua, Yongcun Song Period: 2021/2022 summer semester Date: April – July 2022 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Author: Borjan Geshkovski, MIT The interplay of control and Deep Learning By Borjan Geshkovski It is superfluous to state the impact deep (machine) learning has had on modern technology, as it powers many tools of modern society, ranging from web searches to content filtering on social networks. It is […]
Date: Fri. April 1, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Quantum algorithms for computing observables of nonlinear partial differential equations Speaker: Prof. Dr. Shi Jin Affiliation: Shanghai Jiao Tong University (China) Abstract. Nonlinear partial differential […]
Date: March, 2022 Book: Optimization and Control for Partial Differential Equations DOI: https://doi.org/10.1515/9783110695984 Chapter 3 Limits of stabilizability for a semilinear model for gas pipeline flow • Martin Gugat, Chair for Dynamics Control and Numerics – Alexander von Humboldt Prof. FAU DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) • Michael Herty, RWTH Aachen […]
Analysis and Control of Nonlinear Hyperbolic Systems with Degeneration on Networks DFG WA5144/1-1: Modellierung, Analysis und Steuerung degenerierter nichtlinearer hyperbolischer Systeme auf Netzwerken Project/grant No.: 504042427 Supported by DFG – Deutsche Forschungsgemeinschaft Individual Research Grant Duration: 2022 – 2024 Control for degenerate partial differential equations (PDEs) is needed many applications, […]
Date: March 10, 2022 (4 weeks) Organized by: Institut Élie Cartan de Lorraine Cycle “Science and Society” Title: Contrôle et apprentissage automatique (Control and Machine Learning) Speaker: Prof. Dr. Enrique Zuazua Affiliation: Affiliation: FAU DCN-AvH, Chair for Dynamics Control and Numerics – Alexander von Humboldt Prof., Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Abstract. La […]
Date: Fri. March 4, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Numerical algorithms as a tool that binds science disciplines with particular emphasis on matrix algorithms Speaker: Prof. Dr. Hab. Eng. Jerzy Respondek Affiliation: Department of […]
Nonlinear hyperbolic systems: Modeling, controllabiliy and applications The control theory of hyperbolic systems is an important topic in continuum and fluid mechanics. Networks of nonlinear hyperbolic systems arise in real world applications, e.g. planar or out-of-plane networks of vibrating strings, shearable beams, gas networks and shallow water systems. On these […]
Date: Wed. February 16, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: On adversarial training and perimeter minimization problems Speaker: Prof. Dr. Nicolas Garcia Trillos Affiliation: Department of Statistics, University of Wisconsin-Madison (USA) Abstract. SAdversarial training is […]
Date: Fri. February 11, 2022 Organized by: Durham University, Seminars in Mathematical Sciences Title: Explicit decay rates for discrete velocity BGK models Speaker: Dr. Tobias Wöhrer Affiliation: FAU DCn-AvH – Chair for Dynamics, Control and Numerics – Alexander von Humboldt Prof. (Germany) Abstract. In this talk we analyse the long-time […]
Date: Fri. February 4, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Modeling, simulation and control of multi-physical systems: A change of paradigm Speaker: Prof. Dr. Christian Kühn Affiliation: TU München (Germany) Abstract. Systems with multiple time […]
Date: Wed. February 2, 2022 Organized by: Laboratoire de Modélisation Mathématique et Numérique pour les Sciences de l’Ingénieur-LAMSIN, Université de Tunis El Manar (Tunisia) Title: LAMSIN Seminar: Control and Machine Learning Speaker: Prof. Dr. Enrique Zuazua Affiliation: FAU DCN-AvH, Chair for Dynamics Control and Numerics – Alexander von Humboldt Prof., […]
Date: Fri. January 21, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Modeling, simulation and control of multi-physical systems: A change of paradigm Speaker: Prof. Dr. Volker Mehrmann Affiliation: Technische Universität Berlin (Germany) Abstract. Most real world […]
Kinetic theory of Bose Einstein Condensates If a dilute gas of bosons, about one-hundred-thousandth the density of normal air, is cooled to a temperature very close to absolute zero (0 K or -273.15C), the gas will be changed into a new state of matter, called Bose-Einstein condensate (BEC). This state […]
Date: Fri. January 14, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Mini-Workshop “Recent Advances in Analysis and Control” 13:00H Martin Lazar, -AvH Visiting Scientist at FAU, University of Dubrovnik “Optimal control of parabolic equations – a […]
Author: Martin Gugat, Enrique Zuazua, Aleksey Sikstel, FAU DCN-AvH Code: [HINT] To run the software on your computer, you may have to install additional standard software packages (like cmake and a c++ compiler) and additional libraries (lapack, PETSc). In order to optimize the operation of gas transportation networks, […]
Author: Carlos Esteve, Deusto CCM Code: In a previous post “Inverse Design For Hamilton-Jacobi Equations“, described all the possible initial states that agree with the given observation of the system at time on the reconstruction of the initial state in many evolution models. Our goal here is to study the […]
Author: Daniel Veldman, FAU DCN-AvH Code: || Also available @Daniël’s GitHub In a previous post “Randomized time-splitting in linear-quadratic optimal control“, it was proposed to use the Random Batch Method (RBM) to solve classical Linear-Quadratic (LQ) optimal control problems. This contribution is concerned with the corresponding numerical implementation. We thus […]
Author: Alexei Gazca, FAU DCN-AvH Code: Below is a description of the types of problems that can be tackled using the code contained in this repository. Solving linear systems arising from the discretisation of partial differential equations can be an extremely challenging and computationally intensive task, especially for problems […]
Date: Wed. December 8, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Neural network and partial differential equations Speaker: Prof. Dr. Lexing Ying Affiliation: Stanford University, Department of Mathematics and ICME, Institute for Computational and Mathematical Engineering […]
Date: Wed. December 1, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Estimation of extreme event probabilities in systems governed by PDEs Speaker: Prof. Dr. Georg Stadler Affiliation: Courant Institute of Mathematical Sciences, New York University (USA) […]
Date: Fri. November 26, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Variational principles in a stochastic setting Speaker: Prof. Dr. Tudor Ratiu Affiliation: SJTU – Shanghai Jiao Tong University (China) Abstract. The standard variational principles in […]
On November 25th, 2021 our Head Prof. Enrique Zuazua, Dipl.-Pol. Patrick Stör from our Faculty of Sciences at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and our visiting scientist Sebastian Zamorano from University of Santiago of Chile visited BAYLAT, Bavarian University Center for Latin America where they met BAYLAT as their service center in […]
Date: Wed. November 19, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Building bridges Lévy-walk way Speaker: Prof. Dr. Vasily Zaburdaev Affiliation: FAU Erlangen-Nürnberg (Germany) Abstract. Lévy walks are random walks in which the walker moves continuously […]
Transition Layers in Elliptic Equations Stable transition layers in an unbalanced bistable equation Consider the following semi-linear problem where are positive functions in ; is a positive parameter and We assume that the functions satisfy ; for all ; there is a sub-interval such that for and for all […]
BaCaTeC. Endowing Artificial Intelligence with Control-Theoretic Guarantees: Data-Based Optimization in Real Time for Dynamic Systems Supported by: HighTech Research between Bavaria and California Duration: 2021 – 2022 Unlike most machine learning algorithms, which have yet to be equipped with guarantees of convergence and stability in real time for feedback applications to […]
Date: Wed. November 10, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Modeling climate change: A dynamical systems approach Speaker: Prof. Dr. Alejandro Aceves Affiliation: Southern Methodist University (USA) Abstract. Addressing climate change from different perspectives is […]
On November 9th, our Head Prof. Enrique Zuazua welcomed new international researchers on the FAU Welcome event this year: Read the Welcome message by Prof. Enrique Zuazua The slides shown: Message by Prof. Enrique Zuazua Enrique Zuazua, DDS-FAU @Nov 9, 2021 Guten Abend und herzlich willkommen zur Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)! […]