Randomized and Robust Methods for Uncertain Systems using R-RoMulOC, with Applications to DEMETER Satellite Benchmark - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Aerospace Lab Année : 2017

Randomized and Robust Methods for Uncertain Systems using R-RoMulOC, with Applications to DEMETER Satellite Benchmark

Résumé

R-RoMulOC is a freely distributed toolbox aimed at making easily available to the users various optimization-based methods for dealing with uncertain systems. It implements both deterministic LMI-based results, which provide guaranteed performance for all values of the uncertainties, and probabilistic randomization-based approaches, which guarantee performance 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 the 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.

Mots clés

Fichier principal
Vignette du fichier
AL13-04.pdf (4.7 Mo) Télécharger le fichier
Origine : Accord explicite pour ce dépôt
Loading...

Dates et versions

hal-01570588 , version 1 (31-07-2017)
hal-01570588 , version 2 (17-11-2017)

Identifiants

Citer

Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Dimitri Peaucelle, Christelle Pittet. Randomized and Robust Methods for Uncertain Systems using R-RoMulOC, with Applications to DEMETER Satellite Benchmark. Aerospace Lab, 2017, 13, p. 1-11. ⟨10.12762/2017.AL13-04⟩. ⟨hal-01570588v2⟩
308 Consultations
129 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More