Advanced probabilistic \(\mu\)-analysis techniques for AOCS validation

DOI10.1016/J.EJCON.2021.06.019zbMath1480.93300OpenAlexW3180289189MaRDI QIDQ2068577

Fabrice Boquet, Clément Roos, Bénédicte Girouart, Valentin Preda, Samir Bennani, Jean-Marc Biannic

Publication date: 19 January 2022

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejcon.2021.06.019

zbMATH Keywords

verification and validationMonte-Carlo simulationsrobust stability and performancespace systemsprobabilistic \(\mu \)-analysis

Mathematics Subject Classification ID

Application models in control theory (93C95) Robust stability (93D09) Stochastic stability in control theory (93E15)

Related Items (1)

Comparing multivariable uncertain model structures for data‐driven robust control: Visualization and application to a continuously variable transmission

Cites Work

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• The complex structured singular value
• MIXED μ PROBLEMS AND BRANCH AND BOUND TECHNIQUES
• Robust microvibration mitigation and pointing performance analysis for high stability spacecraft
• A Guide to Monte Carlo Simulations in Statistical Physics

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