no code implementations • 25 Apr 2024 • Ahmed Aboudonia, John Lygeros
Set membership identification is used in the learning phase to learn an uncertainty set that contains the coupling strength using online data.
no code implementations • 19 Jul 2022 • Ahmed Aboudonia, Andrea Martinelli, Nicolas Hoischen, John Lygeros
In the redesign phase, passivity-based control is used to ensure that asymptotic stability of the network is preserved.
no code implementations • 19 Jul 2022 • Ahmed Aboudonia, Goran Banjac, Annika Eichler, John Lygeros
A distributed model predictive control scheme is developed for tracking piecewise constant references where the terminal set is reconfigured online, whereas the terminal controller is computed offline.
no code implementations • 29 Oct 2021 • Felix Bünning, Benjamin Huber, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, Roy S. Smith, John Lygeros
However, we also see that the physics-informed ARMAX models have a lower computational burden, and a superior sample efficiency compared to the Machine Learning based models.
no code implementations • 13 Sep 2021 • Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli, John Lygeros, Roy S. Smith
Adaptive model predictive control (MPC) robustly ensures safety while reducing uncertainty during operation.
no code implementations • 15 Jul 2021 • Ahmed Aboudonia, Andrea Martinelli, John Lygeros
The controller is synthesized by locally solving a semidefinite program offline for each subsystem in a decentralized fashion.
no code implementations • 26 Nov 2020 • Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros
We assess the consequences of the additional constraints for the model accuracy and test the models in a real-life MPC experiment in an apartment in Switzerland.
no code implementations • 1 Jul 2020 • Ahmed Aboudonia, Annika Eichler, Francesco Cordiano, Goran Banjac, John Lygeros
The proposed scheme is tested in simulation where the proposed MPC problem is solved using distributed optimization.