A scenario approach for non-convex control design
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 proble...
| Главные авторы: | , , , , |
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| Формат: | Journal article |
| Опубликовано: |
Institute of Electrical and Electronics Engineers
2015
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