Randomized and robust methods for uncertain systems using R-RoMulOC, with applications to DEMETER satellite benchmark
Abstract
R-RoMulOC is a freely distributed toolbox which aims at making easily available to the users different optimization-based methods for dealing with uncertain systems. It implements both deterministic LMI-based results, that provide guaranteed performances for all values of the uncertainties, and probabilistic randomization-based approaches, that guarantee performances for all values of the uncertainties except for a subset with arbitrary small probability measure. The paper is devoted to the description of these two approaches for analysis and control design when applied to a satellite benchmark proposed by CNES, the French Space Agency. The paper also describes the modeling of the DEMETER satellite and its integration into the R-RoMulOC toolbox as a challenging test example. Design of state-feedback controllers and closed-loop performance analysis are carried out with the randomized and robust methods available in the R-RoMulOC toolbox.
Cite
@article{arxiv.1612.07101,
title = {Randomized and robust methods for uncertain systems using R-RoMulOC, with applications to DEMETER satellite benchmark},
author = {Mohammadreza Chamanbaz and Fabrizio Dabbene and Dimitri Peaucelle and Christelle Pittet and Roberto Tempo},
journal= {arXiv preprint arXiv:1612.07101},
year = {2016}
}
Comments
Published in AerospaceLab journal