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

Deliverables

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

Publications

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

Author(s): Fabio Bonassi; Marcello Farina; Jing Xie; Riccardo Scattolini
Published in: Journal of Process Control, Issue vol. 114, 2022, Page(s) 92-104, ISSN 0959-1524
Publisher: Butterworth Scientific Ltd.
DOI: 10.48550/arxiv.2111.13557

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

Author(s): Andreas Themelis; Lorenzo Stella; Panagiotis Patrinos
Published in: Computational Optimization and Applications, Issue 82-2, 2022, ISSN 0926-6003
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10589-022-00366-y

Sim2real for Autonomous Vehicle Control using Executable Digital Twin

Author(s): Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son
Published in: IFAC-PapersOnLine, Issue vol. 55 issue 24, 2022, ISSN 2405-8963
Publisher: Elsevier Ltd
DOI: 10.1016/j.ifacol.2022.10.314

Data-briven Distributionally Robust Me for constrained stochastic systems

Author(s): Peter Coppens; Panagiotis Patrinos
Published in: IEEE Control System Letters, Issue vol. 6, 2022, ISSN 2475-1456
Publisher: IEEE
DOI: 10.1109/lcsys.2021.3091628

QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs

Author(s): Ben Hermans, Andreas Themelis, Panagiotis Patrinos
Published in: Mathematical Programming Computation volume, Issue 14, 2022, ISSN 1867-2949
Publisher: Springer Verlag
DOI: 10.1007/s12532-022-00218-0

Large-eddy simulation of airborne wind energy farms

Author(s): Thomas Haas; Jochem De Schutter; Moritz Diehl; Johan Meyers
Published in: Wind Energy Science Discussions, Issue 2, 2021, ISSN 2366-7451
Publisher: Copernicus Publications
DOI: 10.5194/wes-2021-141

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

Author(s): Riccardo Scattolini; Fabio Bonassi
Published in: European Journal of Control, Issue vol. 65, 2022, ISSN 0947-3580
Publisher: Lavoisier
DOI: 10.1016/j.ejcon.2022.100632

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

Author(s): Danilo Saccani, Leonardo Cecchin, Lorenzo Fagiano
Published in: IEEE Transactions on Control Systems Technology, 2022, ISSN 1063-6536
Publisher: 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

Author(s): Pieter Pas, Mathijs Schuurmans, Panagiotis Patrinos
Published in: 2022 European Control Conference (ECC), 2022
Publisher: IEEE
DOI: 10.23919/ecc55457.2022.9838172

Introducing the quadratically-constrained quadratic programming framework in HPIPM

Author(s): Frison, Gianluca; Frey, Jonathan; Messerer, Florian; Zanelli, Andrea; Diehl, Moritz
Published in: 2022 European Control Conference (ECC), 2022, Page(s) 447-453
Publisher: IEEE
DOI: 10.23919/ecc55457.2022.9838499

Towards lifelong learning of Recurrent Neural Networks for control design

Author(s): Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
Published in: 2022 European Control Conference (ECC), 2022, Page(s) 2018-2023
Publisher: IEEE
DOI: 10.23919/ecc55457.2022.9838393

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

Author(s): Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
Published in: 2022 IEEE 61st Conference on Decision and Control (CDC), 2022, ISBN 978-1-6654-6761-2
Publisher: IEEE
DOI: 10.1109/cdc51059.2022.9992362

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

Author(s): Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher
Published in: International Conference on Learning Representations., 2022
Publisher: ICLR

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

Author(s): Rudolf Reiter, Florian Messerer, Markus Schratter, Daniel Watzenig, Moritz Diehl
Published in: 2022 European Control Conference (ECC), 2022
Publisher: IEEE
DOI: 10.23919/ecc55457.2022.9838100

Deliverables

Publications

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