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A Scenario Approach for Non-Convex Control Design

IEEE Transactions on Automatic Control, no. 99 (2016): 1-345

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Randomized optimization is an established tool for control design with modulated robustness. While for uncertain convex programs there exist efficient randomized approaches, this is not the case for non-convex problems. Methods based on statistical learning theory are applicable to non-convex problems, but they usually are conservative in...更多

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