Upgrading SPHERE with the second stage AO system SAXO+: frequency-based data-driven controller for adaptive optics

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A PAC-Bayesian Framework for Optimal Control with Stability Guarantees

Mahrokh Ghoddousiboroujeni, Giancarlo Ferrari Trecate, Clara Lucía Galimberti

Stochastic Nonlinear Optimal Control (SNOC) involves minimizing a cost function that averages out the random uncertainties affecting the dynamics of nonlinear systems. For tractability reasons, this problem is typically addressed by minimizing an empirical ...

IEEE2024

Efficient Recursive Data-enabled Predictive Control

Colin Neil Jones, Yingzhao Lian, Jicheng Shi

In the field of model predictive control, Dataenabled Predictive Control (DeePC) offers direct predictive control, bypassing traditional modeling. However, challenges emerge with increased computational demand due to recursive data updates. This paper intr ...

IEEE2024

Aircraft Departures Management for Low Altitude Air City Transport based on Macroscopic Fundamental Diagram

Nikolaos Geroliminis

Low-altitude aircraft is being developed as a new mode of urban transport. This will give rise to new urban air transport systems, called low-altitude air city transport (LAAT) systems. Recent works show that the Macroscopic Fundamental Diagram (MFD) is a ...

IEEE2023

Mission Design and GNC for In-Orbit Demonstration of Active Debris Removal Technologies with CubeSats

Volker Gass, Federico Belloni, Muriel Richard, Camille Sébastien Pirat, Christophe Dominique Paccolat, Reto Wiesendanger

Within the frame of the ESA's General Support Technology Programme, two In-Orbit Demonstration (IOD) missions using CubeSat technologies were studied. These IODs aim at alleviating the technical risk inherent to new technologies required for Active Debris ...

Elsevier2017