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"Inner Approximations of Stochastic Programs for Data-Driven Stochastic ..."

Frederik Baymler Mathiesen et al. (2023)

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DOI: 10.1109/CDC49753.2023.10383306

access: closed

type: Conference or Workshop Paper

metadata version: 2024-03-26

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Frederik Baymler Mathiesen, Licio Romao, Simeon C. Calvert, Alessandro Abate, Luca Laurenti:
Inner Approximations of Stochastic Programs for Data-Driven Stochastic Barrier Function Design. CDC 2023: 3073-3080

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