BaCaTeC. Control and Machine Learning

BaCaTeC. Control and Machine Learning

BaCaTeC. Control and Machine Learning Enrique Zuazua, Miroslav Krstic Supported by HighTech Research between Bavaria and California (BaCaTeC, Bayerisch-Kalifornische Hochschulzentrum) Duration: 2023 – 2025 Machine Learning (ML) is forging a new era in Applied Mathematics (AM), generating rich, intensive, innovative research, insightful new ideas and powerful methods. However, simultaneously, this is leading to very challenging fundamental, deep and complex mathematical questions…

Modeling, Robust Design and Control of Gas Networks

Modeling, Robust Design and Control of Gas Networks

Doctoral School of Information and Biomedical Technologies Polish Academy of Sciences: Modeling, Robust Design and Control of Gas Networks Jan Sokolowski, Martin Gugat Supported by – Duration: 2022 – Simulation and Optimization on Finite Graphs is considered for the example of Gas Networks. We are interested in two models defined on the graph. The first model for steady state solutions.…

Approximating Steady-State Maxwell’s Equations via Physics-Informed Neural Networks

Approximating Steady-State Maxwell’s Equations via Physics-Informed Neural Networks

Approximating Steady-State Maxwell’s Equations via Physics-Informed Neural Networks (Applications are welcome for the research internship positions for a Master thesis) Yue Wang Supported by the Emerging Talents Initiative No. 5500168 (ETI) at Friedrich-Alexander-Universität Erlangen-Nürnberg Duration: 2022 – now n recent years, Physics-Informed Neural Networks (PINNs) have started to arise frequently in many areas of science and engineering. PINNs are revolutionizing the way…

Analysis and Control of Nonlinear Hyperbolic Systems with Degeneration on Networks

Analysis and Control of Nonlinear Hyperbolic Systems with Degeneration on Networks

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 Yue Wang Supported by DFG – Deutsche Forschungsgemeinschaft Individual Research Grant Duration: 2022 – 2024 Control for degenerate partial differential equations (PDEs) is needed many applications, in particular, for the cloaking problem (building of devices that lead…

BaCaTeC. Data-Based Optimization in Real Time for Dynamic Systems

BaCaTeC. Data-Based Optimization in Real Time for Dynamic Systems

BaCaTeC. Data-Based Optimization in Real Time for Dynamic Systems Enrique Zuazua, Miroslav Krstic Supported by HighTech Research between Bavaria and California Duration: 2021 – now Unlike most machine learning algorithms, which have yet to be equipped with guarantees of convergence and stability in real time for feedback applications to dynamical systems, one of the earliest example of data-based optimization algorithms, the…

SFB Transregio 154

SFB Transregio 154

SFB Transregio 154 Mathematical Modelling, Simulation and Optimization using the example of Gas Networks Enrique Zuazua, Martin Gugat, Michael Schuster, Nicola De Nitti, Lukas Wolff, Martín Hernández Supported by DFG Duration: 2018 – now Subprojects where our team are members are working at: C03: Nodal control and the turnpike phenomenon C05: Observer-based data assimilation for time dependent ows on gas networks…

e-Learning

e-Learning

e-Learning Anja Bird, Andreas Räthe, Wigand Rathmann, Nicolai von Schroeders Supported by FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg Duration: 2019 –  Higher Education. Internationalisation 2.0. Calculus and Basic Stats with R (2018-now). Transition Studies are being developed at FAU to help foreign students enter the Master’s program at FAU. Mathematics is involved in this project and is developing the online courses Calculus and…

DFG-Priority Programme SPP 1679

DFG-Priority Programme SPP 1679

DFG-Priority Programme SPP 1679 Dynamic simulation of interconnected solids processes. (2017 – 2019) Günter Leugering, Lukas Plug, Michele Spinola Supported by DFG Duration: 2017 – 2019 The material and the energy conversion of technical processes often consist of many individual substeps, which are interconnected by material, energy and information flows. The networking of each component has significant influence on the dynamic…

Chair for Dynamics, Control and Numerics – AvH

Chair for Dynamics, Control and Numerics – AvH

Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship (formerly Applied Analysis) Our Team Supported by Alexander von Humboldr Foundation / Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Duration: 2019 – now Funded by Alexander von Humboldt Stiftung/Foundation, the Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH) reach its activities a step further with a wide expertise in…