On February 15, 2024 Prof. Enrique Zuazua will talk on Contrôle et apprentissage automatique an event organized by the Adria Business & Technology and the moroccan association Math & Maroc. Abstract. La motivation de contrôler les machines remonte à l’antiquité: des machines exécutent automatiquement le travail de l’homme afin que […]
darlis.dcn
422 posts
Next Thursday February 08, 2024: Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: Non-convex aggregative optimization problems and their mean-field relaxation Speaker: Kang Liu Affiliation: FAU DCN-AvH Chair for Dynamics, Control, Machine Learning and Numerics […]
Master Thesis: “Synthetic Training Data Generation for Point Cloud Defects” Author: Nishitha Yedalapalli Supervisor: Prof. Enrique Zuazua Date: January 29, 2024 In the field of aviation maintenance, white light interferometry is useful for detecting submillimeter cracks within combustion chambers. This cutting-edge technology gen- erates high-resolution point cloud data that captures […]
Next Summer, on Wednesday August 7, 2024 our Akad. Director Prof. Dr. Martin Gugat will talk on “The turnpike property and stabilization” at the TRR 154 Summer School on Optimization, Uncertainty and AI organized on August 7-9, 2024 at Universität Hamburg. Abstract. TBA WHEN Wed. August 7, 2024 at 14:00H […]
Next Thursday January 18, 2024: Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: Discrete Carleman estimates and application to controllability for a fully-discrete parabolic operator with dynamic boundary conditions Speaker: Sebastián Zamorano Aliaga Affiliation: University […]
Control and numerical analysis of complex systems Project/grant agreement No.: 57703041 Principal Investigators (PI): Prof. Enrique Zuazua Host Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU, Germany), Federal Fluminense University (UFF, Brazil) Supported by DAAD, Deutscher Akademischer Austauschdienst (German Academic Exchange Service) Duration: 2 years (January 2024 – December 2025) Programmes for Project-Related Personal […]
Date: Thu. January 11, 2024 Event: FAU MoD Lecture Organized by: FAU MoD, the FAU Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics Speaker: Prof. Dr. Amaury Hayat Affiliation: École des Ponts ParisTech, France Abstract. […]
On January 9, 2024 Prof. Enrique Zuazua will talk on “Control, Cibernetics and Artificial Intelligence” (Control, Cibernética e Inteligencia Artificial) at the IUI Conference Mathematical Modeling: Theory and Applications (“Jornada IUI Modelización matemática: teoría y aplicaciones”) organized at the University of Zaragoza (Spain). The conference will be dedicated to the […]
On December 24, 2023 Prof. Enrique Zuazua will talk on “Control and Machine Learning” (S3-1) at the Symposium Controllability and Differential Equations of the 89th Annual Conference of Indian Mathematical Society an international meet organized annually by the IMS, Indian Mathematical Society, this year at BITS Pilani (India) on December […]
Next Monday December 11, 2023: Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: Randomized POD-Beyn algorithm for nonlinear eigenvalue problems – analysis and perspectives Speaker: Luka Grubišić Affiliation: University of Zagreb (Croatia) Abstract. We present a method […]
On Wednesday December 13, 2023 Prof. Enrique Zuazua will talk on “AI techniques in guidance control problem and space missions – Control and Machine Learning” as part of the Topic 1: Manifold dynamics, trajectory design, and related control aspects of the conference “New trends and challenges in optimisation theory applied […]
Next Tuesday December 12, 2023 our Head Prof. Enrique Zuazua will talk on “Control and Machine Learning” at the MATH-DT, Mathematical Opportunities in Digital Twins Workshop at GMU, George Mason University on December 11-13, 2023. This workshop brings together key experts working in many aspects of mathematics, key application fields, […]
Next Wednesday December 6, 2023 our Head Prof. Enrique Zuazua will talk on “Control and Machine Learning” at the Workshop on recent advances in kinetic theory and related models organized at the Beijing International Center for Mathematical Research, Pekin University on December 4-8, 2023. Abstract. In this lecture we shall […]
PINNs Introductory Code for the Heat Equation This repository provides some basic insights on Physics Informed Neural Networks (PINNs) and their implementation. PINNs are numerical methods based on the universal approximation capacity of neural networks, aiming to approximate solutions of partial differential equations. Recently, extensive focus has been on approximating […]
Next Thursday November 30, 2023 our Visiting Scientist Prof. Ahmet Ozkan Ozer will talk on “Advances in Controlling Magnetizable Piezoelectric Systems: PDE Models, Model Reductions, and Interactive Simulations” organized at FAU DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg. Asbtract. Magnetizable piezoelectric materials, pivotal in various engineering applications, exhibit intricate interactions between mechanical and electromagnetic […]
On Friday December 1, 2023 our postdoctoral researcher Dr. Maria Filipkovska will talk on “Lagrange and Lyapunov stability of degenerate differential equations” at the Dynamical systems and control seminar organized at Julius-Maximilians-Universität Würzburg. Abstract. The development of modern technologies leads to the appearance of various types of nonlinear mathematical models […]
Next Thursday November 30, 2023 our Visiting Scientist Prof. Ahmet Ozkan Ozer will talk on “Advances in Controlling Magnetizable Piezoelectric Systems: PDE Models, Model Reductions, and Interactive Simulations” organized at FAU DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg. Asbtract. Magnetizable piezoelectric materials, pivotal in various engineering applications, exhibit intricate interactions between mechanical and electromagnetic […]
Schöne Mathematik für Künstliche Intelligenz Last month, FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg interviewed our Head Prof. Enrique Zuazua on “Beautiful mathematics for Artificial Intelligence” (Schöne Mathematik für Künstliche Intelligenz) that appeared at the FAU Magazin 2023/2024: This the English version of the original interview (in German) October 30, 2023 Three questions for […]
Date: Wed. November 22, 2023 Event: FAU MoD Lecture Series (Special double session. November 2023) Organized by: FAU MoD, the FAU Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) First session: 13:45H FAU MoD Lecture: Prospects of formalized mathematics Speaker: Prof. Dr. Michael Kohlhase Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg. Carnegie […]
On November 23 – 27, our Head Prof. Enrique Zuazua is giving a historical introduction to Control and Machine Learning and then talking on control of finite dimensional systems and Supervised Learning by Control Methods at the Tutorial lecture series on “Advanced Topics Systems Control” organized (online) from November 23 […]
Next Thursday November 23, 2023 our postdoctoral researcher Dr. Timothée Crin-Barat will talk on “Hyperbolic approximations in fluid mechanics: Hypocoercivity and hybrid Besov spaces” at the Nanjing University of Aeronautics and Astronautics. Abstract. We investigate the relaxation limits associated with partially dissipative systems in the context of fluid mechanics. As […]
Next Monday November 20, 2023 our postdoctoral researcher Dr. Timothée Crin-Barat will talk on “A survey on partially dissipative systems: global well-posedness and strong relaxation limit in the critical regularity setting” at the Nanjing University of Aeronautics and Astronautics, China. Abstract. In this talk, we review recent results on so-called […]
On November 17, 2023 our Head Prof. Enrique Zuazua will talk on Control and Machine Learning at the ICMAM Latin America Satellite Conference on Data Science, AI, and Machine Learning organized by ICMAM Latin America. Abstract. In this lecture we shall present some recent results on the interplay between control […]
Next Thursday November 9, 2023 our postdoctoral researcher Dr. Timothée Crin-Barat will talk on “Hyperbolic Approximation of the Navier-Stokes-Fourier system: hypocoercivity and hybrid Besov spaces” at the conference “Critical phenomena in nonlinear partial differential equations, harmonic analysis and functional inequalities” in honour of Prof. Takayoshi Ogawa on his 60th birthday. […]
On November 7, 2023 our Head Prof. Enrique Zuazua will talk on “Optimal placement of sensors and actuators” at the “Control of Partial Differential Equations in Hauts-de-France” (CPDEs2023) organized by UPHF, Ulille, ULCO on November 6-8, 2023 in France. Asbtract. In this lecture we shall discuss the problem of sensor […]
On Mon. November 6, 2023 our Visiting Scientist Prof. Ahmet Ozkan Ozer will talk on “Recent progresses and open problems in controlling magnetizable piezoelectric systems” at the “Control of Partial Differential Equations in Hauts-de-France” (CPDEs2023) organized by UPHF, Ulille, ULCO on November 6-8, 2023 in France. Asbtract. Magnetizable piezoelectric materials […]
Limits of the stabilization of a networked hyperbolic system with a circle 1 Introduction In this post, we discuss the exponential stability of a networked hyperbolic system with a circle. In many applications, the graphs of these networks contain cycles, such as pipeline networks for gas transportation (see, for example, […]
Date: Thu. November 02, 2023 Event: FAU DCN-AvH Jr. Seminar Organized by: FAU DCN-AvH at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Hybrid parabolic-hyperbolic property for heat equations with memory Speaker: Prof. Dr. Yubiao Zhang Affiliation: Postdoctoral Researcher at FAU DCN-AvH. Humboldt Research Fellowship for Experienced Researcher Abstract. This talk aims to introduce the hybrid […]
Join us this Saturday October 21, 2023 at the #NdW23! Our FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship will be at the “Lange Nacht der Wissenschaften” (Long Night of Sciences) in Erlangen, Fürth and Nürnberg with: Optimale Steuerung einer Schafherde By our […]
Next Thursday October 19, 2023 our Senior scientist Prof. Dr. Giovanni Fantuzzi will talk on “Data-driven system analysis: Polynomial optimization meets Koopman” at the Aerodynamics & Control Seminars, hosted by the Department of Aeronautics at Imperial College London. Abstract. Questions about stability, long-time behaviour, and the effect of uncertainty are […]
On October 13th, 2023 the Bavarian University Center for Latin America (BAYLAT, Bayerische Hochschulzentrum für Lateinamerika) and our Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) are hosting a joint virtual-meeting to present potential Bavaria-Latinamerican collaborations in the area […]
Date: Wed. October 11, 2023 Event: FAU MoD Lecture Organized by: FAU MoD, Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Free boundary regularity for the obstacle problem Speaker: Prof. Dr. Alessio Figalli Affiliation: ETH Zürich, Switzerland Abstract. The classical obstacle problem consists of finding […]
Stability of hyperbolic systems with non-symmetric partial dissipation Introduction In this post, we report new results for -components linear hyperbolic systems in of the type The unknown () depends on the time variable and on the space variable , is a symmetric matrix and is a semidefinite positive matrix […]
Date: Tue. September 19, 2023 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks Speaker: Prof. Xue-Cheng Tai Affiliation: Norwegian Research Centre Abstract. For problems in image processing and many other fields, a large class of effective neural networks […]
Date: Thursday September 14, 2023 at 16:00H Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: Global existence for the 2D Kuramoto-Sivashinsky equation Speaker: Prof. Dr. Anna Mazzucato Affiliation: Penn State University […]
Next Friday September 15, 2023 (at 10:00H local time) our Head Prof. Enrique Zuazua will talk on “Control, Cybernetics and Artificial Intelligence” organized by the Science and Technology Association at Jilin University (China). Abstract. Systems control, or cybernetics, according to the term first coined by Ampère and later popularized by […]
Neural ODEs for interpolation and transport: From tight to shallow Introduction We consider in our work residual neural networks (ResNets) which take the form for some initial input . The states are the output after each layers, with being the final output. The depth of the neural network is the […]
Next Friday August 25, 2023 our postdoctoral researcher Michael Schuster, will talk on “Optimal Boundary Control for the semilinear Transport Equation under Uncertainty: A Turnpike Result” at ICIAM 2023 TOKYO, the 10th International Congress on Industrial and Applied Mathematics on August 20-25th, 2023. Abstract. We show an integral turnpike result […]
Date: Tue. August 1 – Fri. August 4, 2023 Event: CIN-PDE 2023 Erlangen-Shanghai. Workshop on Control, Inversion and Numerics for PDEs. Organized by: FAU MoD, Research Center for Mathematics of Data and the FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) and the […]
Combined convection and diffusion in a network. A numerical analysis. The problem: a contaminant in a network of water pipes Imagine that there is a network of pipes full of water. The water is flowing from some source nodes (say, some water plants) to some destination nodes (say, people’s homes). […]
Analysis, control, and singular limits for hyperbolic conservation laws Author: Nicola de Nitti Date: Monday July 24, 2023 PhD Thesis: Analysis, control, and singular limits for hyperbolic conservation laws (July 24, 2023) Abstract. The main focus of this thesis is on the study of singular limits related to scalar conservation […]
Next July 27, 2023 our postdoctoral researcher Michael Schuster, will talk on “Probabilistic Constrained Optimization on Gas Networks” at ICSP 2023, the XVI International Conference Stochastic Programming on July 24-28th, 2023, at University of California Davis (USA). Abstract. Uncertainty often plays an important role in gas transport and probabilistic constraints […]
Next Monday, July 17, 2023: Event: FAU DCN-AvH Mini-workshop: Analysis, Numerics and Control Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) 11:00H Title: Stability and genericity in affine optimal control Abstract. For some applications is better […]
The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach Motivation This post shows the source code from the paper “The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach”. (See reference below) We study the combination of the alternating direction method of multipliers (ADMM) with […]
Master Thesis: “Machine Learning: Publisher Recommendation Model” Author: Mohammed Quaidjohar Husain Supervisor: Prof. Dr. DhC. Enrique Zuazua Date: July 7, 2023 The exponential rise of digital content in recent years, along with the spread of inter- net platforms, has led to an excessive influx of data from all sources, which […]
Date: Mon. July 10, 2023 at 14:00H Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: Large Data Solutions to 1-D Hyperbolic Systems, Ill-Posedness, and Convex Integration Speaker: Dr. Sam Krupa Affiliation: Max Planck Institute for […]
Date: Thu. July 6, 2023 Event: FAU MoD Lecture Organized by: FAU MoD, Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function Speaker: Prof. Dr. Alfio Quarteroni Affiliation: Politecnico di Milano, Milan, Italy and Ecole […]
Reinforcement learning as a new perspective into controlling physical systems Introduction Optimal control addresses the problem of bringing a system from an initial state to a target state, like a satellite that we want to send into orbit using the least possible amount of fuel. Since the last century, mathematics […]
Date: Fri. June 30, 2023: Event: FAU DCN-AvH Mini-workshop: Analysis, Numerics and Control Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) 11:35H Title: Stability of Elastic Systems with Local Damping Speaker: Prof. Dr. Qiong Zhang Affiliation: […]
Null controllability for population dynamics with age, size structuring and diffusion 1. Motivation and description of age, size structured model 1.1. Motivation Knowing the mechanisms of tumor growth can be useful for developing treatments. To mathematically describe its evolution from a global point of view, we can use a so-called […]