Randomized and Robust Methods for Uncertain Systems using R-RoMulOC, with Applications to DEMETER Satellite Benchmark - Équipe Méthodes et Algorithmes en Commande Access content directly
Journal Articles Aerospace Lab Year : 2017

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

Abstract

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.

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Dates and versions

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

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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⟩
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