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https://hdl.handle.net/2440/113999
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Type: | Journal article |
Title: | Sampled-data stabilization for fuzzy genetic regulatory networks with leakage delays |
Author: | Ali, M. Gunasekaran, N. Ahn, C. Shi, P. |
Citation: | IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018; 15(1):271-285 |
Publisher: | IEEE |
Issue Date: | 2018 |
ISSN: | 1545-5963 1557-9964 |
Statement of Responsibility: | 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 |
DOI: | 10.1109/TCBB.2016.2606477 |
Grant ID: | 61573112 U1509217 http://purl.org/au-research/grants/arc/DP140102180 http://purl.org/au-research/grants/arc/LP140100471 |
Published version: | http://dx.doi.org/10.1109/tcbb.2016.2606477 |
Appears in Collections: | Aurora harvest 8 Electrical and Electronic Engineering publications |
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