Comparison of Norm Minimizations in Scenario Approach and Its Application to Robust Optimal Control
Author:
Affiliation:
1. Graduate School of Information Science and Technology, Osaka University
Publisher
The Institute of Systems, Control and Information Engineers
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://www.jstage.jst.go.jp/article/iscie/36/6/36_163/_pdf
Reference11 articles.
1. [1] R. Tempo, G. Calafiore and D. Dabbene: Randomized Algorithms for Analysis and Control of Uncertain Systems, Springer London (2005)
2. [2] A. Ben-Tal, L. El Ghaoui and A. Nemirovski: Robust semidefinite programming; Handbook of Semidefinite Programming, R. saigal, L. Vandenberghe and H. Wolkowicz, Eds., Kluwer (2000)
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 Transactions on Automatic Control, Vol. 60, No. 12, pp. 3356–3361 (2015)
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