A Primal-Dual Setting for Probabilistic Feasibility of Robust LMIs-Reference-Cited by-同舟云学术

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A Primal-Dual Setting for Probabilistic Feasibility of Robust LMIs

Published:2010-05-05 Issue:0 Volume:2010 Page:260-265
ISSN:2188-4730
Container-title:Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
language:en
Short-container-title:Stochastic Systems Theory and its Applications (SSS)

Author:

Wada Takayuki¹²,Fujisaki Yasumasa²

Affiliation:

1. JSPS Research Fellow (PD)

2. Department of Computer Science and Systems Engineering, Kobe University

Publisher

The Institute of Systems, Control and Information Engineers

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/sss/2010/0/2010_260/_pdf

Reference10 articles.

1. [1] S. Boyd, L. E. Ghaoui, E. Feron, and V. Balakrishnan: Linear Matrix Inequalities in System and Control Theory; SIAM (1994)

2. [2] A. Ben-Tal and A. S. Nemirovskii: Lectures on Modern Convex Optimization: Analysis, Algorithms, and Engineering Applications; SIAM (2001)

3. [3] R. Tempo, G. Calafiore, and F. Dabbene: Randomized Algorithms for Analysis and Control of Uncertain Systems; Springer-Verlag (2004)

4. [4] Y. Fujisaki and Y. Oishi: Guaranteed cost regulator design: A probabilistic solution and a randomized algorithm; Automatica, Vol. 43, No. 2, pp. 317-324 (2007)

5. [5] Y. Oishi: Polynomial-time algorithms for probabilistic solutions of parameter-dependent linear matrix inequalities; Automatica, Vol. 43, No. 3, pp. 538-545 (2007)

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