Local stabilization of Polynomial Fuzzy Model with time delay: SOS approach-Reference-Cited by-同舟云学术

Local stabilization of Polynomial Fuzzy Model with time delay: SOS approach

Published:2016-12-23 Issue:1 Volume:15 Page:385-393
ISSN:1598-6446
Container-title:International Journal of Control, Automation and Systems
language:en
Short-container-title:Int. J. Control Autom. Syst.

Author:

Gassara Hamdi,Siala Fatma,El Hajjaji Ahmed,Chaabane Mohamed

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s12555-014-0575-5.pdf

Reference19 articles.

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2. P. Gahinet, A. Nemirovski, A. J. Laub, and M. Chilali, “LMI control toolbox for use with Matlab,” Natick, MA: Math Works, 1995.

3. K. Tanaka, H. Yosihida, H. Ohtake, and H. Wang, “A sumof-squares approach to stability analaysis of polynomial fuzzy systems,” Proceedings of the American Control Conference, New York City, USA, 2007.

4. S. Prajna, A. Papachristodoulou, P. Seiler, P. A. Parrilo, J. Anderson1, and G. Valmorbida1, SOSTOOLS: Sum of Squares Optimization Toolbox for MATLAB, Version 3.00, 3rd October.

5. K. Guelton, N. Manamanni, C.-C. Duong, and D. L. Koumba-Emianiwe, “Sum-of-squares stability analysis of Takagi-Sugeno systems based on multiple polynomial Lyapunov functions,” International Journal of Fuzzy Systems, vol. 15, no. 1, pp. 1–7, 2013.

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