Abstract
The paper shows methods that could be suitably applied to manage uncertainties in space systems design and modeling. Attention is focused on the Interval Analysis, as one of the most promising methods. In this research two issues typical faced in space-related researchs have been treated: optimization and ordinary differential equations (ODEs) solving taking into account possible uncertainties included in the models; the first is generally related to space system design phases while the second deals with systems dynamics analysis. Because of lack of space this paper presents results from the first area only: more specifically, the optimization of a control system design to accomplish robust reconfiguration manoeuvre is achieved taking into account uncertainties on the technological parameters of the propulsion unit to obtain a robust design from the beginning of the study. Results turned out that the Interval Analysis is effective and efficient to handle these classes of uncertainties.
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Lavagna, M., Sangiovanni, G. (2007). A Possible Approach to Cope with Uncertainties in Space Applications. In: Masulli, F., Mitra, S., Pasi, G. (eds) Applications of Fuzzy Sets Theory. WILF 2007. Lecture Notes in Computer Science(), vol 4578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73400-0_34
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DOI: https://doi.org/10.1007/978-3-540-73400-0_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73399-7
Online ISBN: 978-3-540-73400-0
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