ERD

Series of ELO-X webinars

Project: ELO-X

Updated at: 30-06-2024

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2nd ELO-X seasonal school

Project: ELO-X

Updated at: 30-06-2024

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1st ELO-X seasonal school

Project: ELO-X

Updated at: 30-06-2024

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1st ELO-X workshop

Project: ELO-X

Updated at: 30-06-2024

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

Project: ELO-X

Updated at: 28-04-2024

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

Project: ELO-X

Updated at: 28-04-2024

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Large-eddy simulation of airborne wind energy farms

Project: ELO-X

Updated at: 28-04-2024

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QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs

Project: ELO-X

Updated at: 28-04-2024

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Data-Driven Distributionally Robust MPC for Constrained Stochastic Systems

Project: ELO-X

Updated at: 28-04-2024

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Data-briven Distributionally Robust Me for constrained stochastic systems

Project: ELO-X

Updated at: 28-04-2024

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

Project: ELO-X

Updated at: 28-04-2024

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

Project: ELO-X

Updated at: 28-04-2024

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1st technical report on implementations

Project: ELO-X

Updated at: 28-04-2024

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1st technical report on algorithms

Project: ELO-X

Updated at: 28-04-2024

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1st technical report on applications

Project: ELO-X

Updated at: 28-04-2024

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Online training inventory

Project: ELO-X

Updated at: 28-04-2024

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1st Dissemination and public engagement strategy repor

Project: ELO-X

Updated at: 28-04-2024

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

Project: ELO-X

Updated at: 28-04-2024

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

Project: ELO-X

Updated at: 28-04-2024

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

Project: ELO-X

Updated at: 28-04-2024

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Algorithm prototype implementations

Project: ELO-X

Updated at: 28-04-2024

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

Project: ELO-X

Updated at: 28-04-2024

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Project acronym ELO-X

Sim2real for Autonomous Vehicle Control using Executable Digital Twin

Project: ELO-X

Updated at: 28-04-2024

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Introducing the quadratically-constrained quadratic programming framework in HPIPM

Project: ELO-X

Updated at: 28-04-2024

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Towards lifelong learning of Recurrent Neural Networks for control design

Project: ELO-X

Updated at: 28-04-2024

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Periodic Reporting for period 1 - ELO-X (Embedded learning and optimization for the next generation of smart industrial ...

Project: ELO-X

Updated at: 28-04-2024

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2nd Dissemination and public engagement strategy repor

Project: ELO-X

Updated at: 28-04-2024

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2nd technical report on algorithms

Project: ELO-X

Updated at: 28-04-2024

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Midterm report on dissemination & communication

Project: ELO-X

Updated at: 28-04-2024

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Initial network publlic web-page

Project: ELO-X

Updated at: 28-04-2024

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Resources

Selected filters:

Series of ELO-X webinars

2nd ELO-X seasonal school

1st ELO-X seasonal school

1st ELO-X workshop

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

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

Large-eddy simulation of airborne wind energy farms

QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs

Data-Driven Distributionally Robust MPC for Constrained Stochastic Systems

Data-briven Distributionally Robust Me for constrained stochastic systems

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

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

1st technical report on implementations

1st technical report on algorithms

1st technical report on applications

Online training inventory

1st Dissemination and public engagement strategy repor

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

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

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

Algorithm prototype implementations

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

Sim2real for Autonomous Vehicle Control using Executable Digital Twin

Introducing the quadratically-constrained quadratic programming framework in HPIPM

Towards lifelong learning of Recurrent Neural Networks for control design

Periodic Reporting for period 1 - ELO-X (Embedded learning and optimization for the next generation of smart industrial ...

2nd Dissemination and public engagement strategy repor

2nd technical report on algorithms

Midterm report on dissemination & communication

Initial network publlic web-page