Control of neural transport for normalising flows

D. Ruiz-Balet, E. Zuazua (2024)Control of neural transport for normalising flows J. Math. Pures Appl., Vol. 181, pp. 58-90, ISSN 0021-7824. https://doi.org/10.1016/j.matpur.2023.10.005 Abstract. Inspired by normalizing flows, we analyze the…
DyCMaMod

DyCMaMod

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, Prof.…
CoDeFeL. Control for Deep and Federated Learning

CoDeFeL. Control for Deep and Federated Learning

CoDeFeL. Control for Deep and Federated Learning Grant agreement Nº: 101096251-CoDeFeL ERC Advanced Grant 2022. Control for Deep and Federated Learning (CoDeFeL) Principal Investigator (PI): Prof. Enrique Zuazua Host Institution:…

Uniform Turnpike Property and Singular Limits

M Hernandez-Salinas, E. Zuazua (2024) Uniform Turnpike Property and Singular Limits Acta Appl. Math., Vol. 190, No. 3, https://doi.org/10.1007/s10440-024-00640-7 Abstract. Motivados por límites singulares para problemas de control óptimo a…

Constrained control of gene-flow models

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…

Multilevel control by duality

U. Biccari, E. Zuazua (2023) Multilevel control by duality Systems & Control Letters, Vol. 175, 105-502, https://doi.org/10.1016/j.sysconle.2023.105502 Abstract. We discuss the multilevel control problem for linear dynamical systems, consisting in designing…
ERC DyCon project

ERC DyCon project

DyCon: Dynamic Control is an European project funded by the European Research Council – ERC (2016 - 2022), focused at making a breakthrough contribution in the broad area of Control of Partial Differential Equations (PDE) and their numerical approximation methods by addressing key unsolved issues appearing systematically in real-life applications.  The field of PDEs, together with numerical approximation, simulation methods and control theory, has evolved significantly to address the industrial demands.
DASEL

DASEL

Project name: DASEL, Ciencia de Datos para Redes Eléctricas Project reference: TED2021-131390B-I00 AEI: TED2021-131390B-I00/ AEI/10.13039/501100011033 DASEL Funding source: MINECO. Ministry of Science, Innovation and Universities. Proyectos de Transición Ecológica y…

Multilevel selective harmonic modulation by duality

U. Biccari, E. Zuazua Multilevel selective harmonic modulation by duality (2022) IFAC-PapersOnLine, Vol. 55, No. 16, pp. 56-61, https://doi.org/10.1016/j.ifacol.2022.08.081. Abstract. We address the Selective Harmonic Modulation (SHM) problem in power…
Constructing the Scattering Transform

Constructing the Scattering Transform

Spain 10.08.2022 Constructing the Scattering Transform Author: Javier Minguillón Sánchez   1 Introduction As Mallat presents it in [8], the scattering transform appears from the pursuit of a representation of…
KiLearn

KiLearn

Project name: KiLearn - Kinetic equations and Learning control Project reference: PID2020-112617GB-C22 AEI: PID2020-112617GB-C22/AEI/10.13039/501100011033 KiLearn Funding source: MINECO, Ministry of Science, Innovation and Universities Duration: September 2021 - May 2025…

Turnpike in Lipschitz-nonlinear optimal control

Esteve C., Geshkovski G., Pighin D., Zuazua E. . Turnpike in Lipschitz-nonlinear optimal control Nonlinearity. Vol 5. No. 34, pp. 1652-1701 (2022) https://doi.org/10.1088/1361-6544/ac4e61 Abstract. We present a new proof of…
Swinging up the double pendulum on a cart

Swinging up the double pendulum on a cart

Spain. 24.01.2022 Author: Arnaud Rippol Introduction Pendulums are systems often used in Control Theory or Reinforcement Learning as benchmarks examples to prove the efficiency of some methods or algorithms. The…

The turnpike property in semilinear control

D. Pighin The turnpike property in semilinear control ESAIM Control Optim. Calc. Var., Vol. 26 (2021), pp. 1-48 Abstract.An exponential turnpike property for a semilinear control problem is proved. The…
Perceptrons, Neural Networks and Dynamical Systems

Perceptrons, Neural Networks and Dynamical Systems

Spain. 09.03.2021 Author: Sergi Andreu Perceptrons, Neural Networks and Dynamical Systems // This post is last part of the "Deep Learning and Paradigms" post Binary classification with Neural Networks When dealing with data classification,…

Shape turnpike for linear parabolic PDE models

Lance G., Trélat E., Zuazua E. Shape turnpike for linear parabolic PDE models  Syst. Control. Lett. Vol. 142 (2020). DOI: 10.1016/j.sysconle.2020.104733 Abstract: We introduce and study the turnpike property for…
Synchronized Oscillators

Synchronized Oscillators

Spain. 03.06.2020. Umberto Biccari, and Enrique Zuazua made a contribution to the DyCon Blog about " Synchronized Oscillators" Take a look the detailed explanation at DyCon Blog All posts at…

Turnpike in optimal shape design

G. Lance, E. Trélat, E. Zuazua Turnpike in optimal shape design IFAC-PapersOnline, Vol. 52, No. 16 (2019), pp. 496-501, ISSN: 24058963, DOI: 10.1137/17M1119160 Abstract: We investigate the turnpike problem in…
CONVADP

CONVADP

Project name: CONVADP Project reference: CONVADP Funding source: ELKARTEK - Basque Government Duration: March 2020 - December 2021 Principal Investigator (PI): Umberto Biccari About the Project CONVADP is a collaborative…