From Optimal Control to Reinforcement Learning: A Motivating Example from the Perspective of Linear Quadratic Regulators Fredson Silva De Souza Aguiar, Visiting Master Student. University of Sorbonne Paris Nord Repository…
This year, our Head Prof. Enrique Zuazua (Friedrich-Alexander-Universität, Erlangen-Nürnberg) joint with Prof. Xiaoming Yuan (University of Hong Kong) will be talking (M20 – Hong Kong module) about “Machine Learning, Optimization…
Next year, Prof. Enrique Zuazua (FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg) joint with Prof. Martin Lazar (University of Dubrovnik) will talk on “Control and Machine Learning” (M18 DUBROVNIK module) on July 1-5, 2024…
This summer, Prof. Enrique Zuazua (Friedrich-Alexander-Universität Erlangen-Nürnberg) joint with Prof. Giuseppe M. Coclite (Politecnico di Bari) are organizing the “PDEs, Control and Deep Learning” Summer School on July 22-26, 2024…
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…
On May 29-30, 2024, Prof. Enrique Zuazua is giving a course on “Control and Machine Learning” at the ML&OC24 summer school “Machine Learning and Optimal Control” on May 27-31, 2024…
On November 24 – 29, 2024, Prof. Enrique Zuazua joint with Borjan Geshkovski (Cambridge) and Domènec Ruiz-Balet (London) are organizing the Oberwolfach Seminar: Control and Machine Learning (2448b) at 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…
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.…
Date: June 30 to July 4, 2025 Event: IEECI-IGSC 2025: International Graduate School on Control 2025 Module Control and Machine Learning (M18 DUBROVNIK) Speakers: • Prof. Enrique Zuazua. FAU, Friedrich-Alexander-Universität…
*The recordings are available at: https://mod.fau.eu/mlpdes25/ On April 28 – 30, 2025, our FAU MoD, Research Center for Mathematics of Data is hosting the “Machine Learning and PDEs” workshop…
Next Fall on September 15 – 19, 2025 there is the 9th. international conference on “Advanced COmputational Methods in ENgineering and Applied Mathematics” (ACOMEN2025) in Ghent, Belgium. The conference aims…
On November 19-25, 2025, our FAU MoD, Research Center for Mathematics of Data at FAU and the Digital Twin Lab under the CMAI, Center for Mathematics and Artificial Intelligence at…
DyCMaMod. Dinámica y control para el aprendizaje automático y la Modelización Project reference: PID2023-146872OB-I00 Funded by: MINECO. Ministerio de Economía, Comercio y Empresa Principal Investigator (PI): Prof. Enrique Zuazua (University…
WP1 | WP2 | WP3 | WP4 • CoDeFeL GitHub • CoDeFeL Blog • Technology Transfer • Data Management Plan Machine Learning (ML) is transforming Applied Mathematics, creating powerful…
D. Ruiz-Balet, E. Zuazua (2024) Control of reaction-diffusion models in biology and social sciences Math. Control Relat. Fields, Vol. 12, No. 4, pp. 955-1038, https://doi.org/10.3934/mcrf.2022032 Abstract. These lecture notes address…
I. Mazari, D. Ruiz-Balet, E. Zuazua (2023)Constrained control of gene-flow models, Ann. Inst. Henri Poincare (C) Anal. Non Lineaire ⟨hal-02373668⟩ Abstract. In ecology and population dynamics, gene-flow refers to the transfer…
Math Crash Course FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: 2023 _ The math final exams are coming up and you're still unsure? Don't worry, with our Math Abi Crash…
Course: Wave Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 summer semester Date: April - July 2023 Location: FAU. Master's Degree in Computational and Applied Mathematics ECTS: 10 This…
Course: Scalar Conservation Laws Lecturers: Enrique Zuazua, , Nicola De Nitti Period: 2022/2023 summer semester Date: April - July 2023 Location: FAU. Master's Degree in Computational and Applied Mathematics ECTS:…
Course: Transport Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 winter semester Date: October 2022 - March 2023 Location: FAU. Master's Degree in Computational and Applied Mathematics ECTS: 10…
Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer 2022 (IFAC CPDE 2022 Course) _ This course gives a general introduction and some recent developments on…
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…
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…
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…
Course: Transport Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2021/2022 winter semester Date: October 2021 - March 2022 Location: FAU. Master's Degree in Computational and Applied Mathematics ECTS: 10
Control y estabilidad de redes híbridas AC/DC: Ecuaciones Diferenciales y Ecuaciones en Derivadas Parciales para el análisis de estabilidad de redes (COSNET) Reference: MTM2017-82996-C2-1-R Fund by: MINECO Research Centers: CCM, DeustoTech & Mondragon…
