Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Sampled-data stabilization for fuzzy genetic regulatory networks with leakage delays|
|Citation:||IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018; 15(1):271-285|
|M. Syed Ali, N. Gunasekaran, Choon Ki Ahn, and Peng Shi|
|Abstract:||This paper deals with the sampled-data stabilization problem for Takagi-Sugeno (T-S) fuzzy genetic regulatory networks with leakage delays. A novel Lyapunov-Krasovskii functional (LKF) is established by the non-uniform division of the delay intervals with triplex and quadruplex integral terms. Using such LKFs for constant and time-varying delay cases, new stability conditions are obtained in the T-S fuzzy framework. Based on this, a new condition for the sampled-data controller design is proposed using a linear matrix inequality representation. A numerical result is provided to show the effectiveness and potential of the developed design method.|
|Keywords:||Genetic regulatory network; interval time-varying delay; sampled-data stabilization; Takagi-Sugeno fuzzy model|
|Description:||Date of publication 7 Sept. 2016|
|Rights:||© 2016 IEEE|
|Appears in Collections:||Aurora harvest 8|
Electrical and Electronic Engineering publications
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.