Embedded learning and optimization for the next generation of smart industrial control systems

Resultado final

Algorithm prototype implementations

Report om algorithm prototype implementations

2nd technical report on algorithms

2nd technical report on algorithms hierarchical multiscale methods for embedded MPC

2nd Dissemination and public engagement strategy repor

2nd Dissemination and public engagement strategy report

Midterm report on dissemination & communication

Midterm report on dissemination communication

1st technical report on algorithms

1st technical report on algorithms optimization algorithms for nonconvex problems and convergence analysis

Online training inventory

Online inventory for training material

1st technical report on applications

1st technical report on applications modeling of partner applications

1st technical report on implementations

1st technical report on implementations summary and analysis of requirements for learningbased MPC on embedded devices

1st Dissemination and public engagement strategy repor

1st Dissemination and public engagement strategy report

Initial network publlic web-page

Initial ELO-X public web-page

1st ELO-X seasonal school

1st ELO-X seasonal school in Leuven

2nd ELO-X seasonal school

2nd ELO-X seasonal school in Freiburg

1st ELO-X workshop

1st ELO-X workshop in Leuven

Series of ELO-X webinars

Publicaciones

On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments

Autores: Fabio Bonassi; Marcello Farina; Jing Xie; Riccardo Scattolini
Publicado en: Journal of Process Control, Edición vol. 114, 2022, Página(s) 92-104, ISSN 0959-1524
Editor: Butterworth Scientific Ltd.
DOI: 10.48550/arxiv.2111.13557

Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms

Autores: Andreas Themelis; Lorenzo Stella; Panagiotis Patrinos
Publicado en: Computational Optimization and Applications, Edición 82-2, 2022, ISSN 0926-6003
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10589-022-00366-y

Sim2real for Autonomous Vehicle Control using Executable Digital Twin

Autores: Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son
Publicado en: IFAC-PapersOnLine, Edición vol. 55 issue 24, 2022, ISSN 2405-8963
Editor: Elsevier Ltd
DOI: 10.1016/j.ifacol.2022.10.314

Data-briven Distributionally Robust Me for constrained stochastic systems

Autores: Peter Coppens; Panagiotis Patrinos
Publicado en: IEEE Control System Letters, Edición vol. 6, 2022, ISSN 2475-1456
Editor: IEEE
DOI: 10.1109/lcsys.2021.3091628

QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs

Autores: Ben Hermans, Andreas Themelis, Panagiotis Patrinos
Publicado en: Mathematical Programming Computation volume, Edición 14, 2022, ISSN 1867-2949
Editor: Springer Verlag
DOI: 10.1007/s12532-022-00218-0

Large-eddy simulation of airborne wind energy farms

Autores: Thomas Haas; Jochem De Schutter; Moritz Diehl; Johan Meyers
Publicado en: Wind Energy Science Discussions, Edición 2, 2021, ISSN 2366-7451
Editor: Copernicus Publications
DOI: 10.5194/wes-2021-141

Recurrent Neural Network-based Internal Model Control design for stable nonlinear systems

Autores: Riccardo Scattolini; Fabio Bonassi
Publicado en: European Journal of Control, Edición vol. 65, 2022, ISSN 0947-3580
Editor: Lavoisier
DOI: 10.1016/j.ejcon.2022.100632

Multitrajectory Model Predictive Control for Safe UAV Navigation in an Unknown Environment

Autores: Danilo Saccani, Leonardo Cecchin, Lorenzo Fagiano
Publicado en: IEEE Transactions on Control Systems Technology, 2022, ISSN 1063-6536
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcst.2022.3216989

ALPAQA: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization

Autores: Pieter Pas, Mathijs Schuurmans, Panagiotis Patrinos
Publicado en: 2022 European Control Conference (ECC), 2022
Editor: IEEE
DOI: 10.23919/ecc55457.2022.9838172

Introducing the quadratically-constrained quadratic programming framework in HPIPM

Autores: Frison, Gianluca; Frey, Jonathan; Messerer, Florian; Zanelli, Andrea; Diehl, Moritz
Publicado en: 2022 European Control Conference (ECC), 2022, Página(s) 447-453
Editor: IEEE
DOI: 10.23919/ecc55457.2022.9838499

Towards lifelong learning of Recurrent Neural Networks for control design

Autores: Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
Publicado en: 2022 European Control Conference (ECC), 2022, Página(s) 2018-2023
Editor: IEEE
DOI: 10.23919/ecc55457.2022.9838393

An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models

Autores: Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
Publicado en: 2022 IEEE 61st Conference on Decision and Control (CDC), 2022, ISBN 978-1-6654-6761-2
Editor: IEEE
DOI: 10.1109/cdc51059.2022.9992362

Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems

Autores: Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher
Publicado en: International Conference on Learning Representations., 2022
Editor: ICLR

An Inverse Optimal Control Approach for Trajectory Prediction of Autonomous Race Cars

Autores: Rudolf Reiter, Florian Messerer, Markus Schratter, Daniel Watzenig, Moritz Diehl
Publicado en: 2022 European Control Conference (ECC), 2022
Editor: IEEE
DOI: 10.23919/ecc55457.2022.9838100

Resultado final

Publicaciones

Compartir esta página

Descargar