On the Effect of Norm Selection in Scenario Approach to Robust Feasibility Problem
Author:
Affiliation:
1. Department of Information and Physical Sciences, Graduate School of Information Science and Technology, Osaka University
Publisher
The Institute of Systems, Control and Information Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/sss/2022/0/2022_56/_pdf
Reference9 articles.
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2. [2] R. Tempo, G. Calafiore, and F. Dabbene, Randomized Algorithms for Analysis and Control of Uncertain Systems, Springer London, 2005.
3. [3] G. Calafiore and M. C. Campi, “The scenario approach to robust control design,” IEEE Transactions on Automatic Control, vol.51, no.5, pp.742–753, 2006.
4. [4] Y. Oishi, “Polynomial-time algorithms for probabilistic solutions of parameter-dependent linear matrix inequalities,” Automatica, vol.43, pp.538–545, 2007.
5. [5] T. Wada and Y. Fujisaki, “Sequential Randomized Algorithms for Robust Convex Optimization,” IEEE Transaction on Automatic Control, vol.60, no.12, pp.3356–3361, 2015.
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1. Comparison of Norm Minimizations in Scenario Approach and Its Application to Robust Optimal Control;Transactions of the Institute of Systems, Control and Information Engineers;2023-06-15
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