Abstract
Over the past few years, much research has been dedicated to the creation of decisions support systems for space system engineers or even for completely automated design methods capturing the reasoning of system experts. However, the problem of taking into account the uncertainties of variables and models defining an optimal and robust spacecraft design have not been tackled effectively yet. This chapter proposes a novel, simple approach based on the clouds formalism to elicit and process the uncertainty information provided by expert designers and to incorporate this information into the automated search for a robust, optimal design.
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Fuchs, M., Girimonte, D., Izzo, D., Neumaier, A. (2008). Robust and Automated Space System Design. In: Schuster, A. (eds) Robust Intelligent Systems. Springer, London. https://doi.org/10.1007/978-1-84800-261-6_12
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DOI: https://doi.org/10.1007/978-1-84800-261-6_12
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