Sampled-Data Stabilization for Fuzzy Genetic Regulatory Networks with Leakage Delays

Ali, M. Syed; Gunasekaran, N.; Ahn, Choon Ki; Shi, Peng

doi:10.1109/TCBB.2016.2606477

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Sampled-Data Stabilization for Fuzzy Genetic Regulatory Networks with Leakage Delays

Ali, M. Syed;
Gunasekaran, N.;
Ahn, Choon Ki;
Shi, Peng

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56

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61

초록

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.

키워드

Genetic regulatory network; interval time-varying delay; sampled-data stabilization; Takagi-Sugeno fuzzy model; TIME-VARYING DELAYS; GLOBAL EXPONENTIAL STABILITY; ROBUST H-INFINITY; BAM NEURAL-NETWORKS; STOCHASTIC STABILITY; DISTRIBUTED DELAYS; STATE ESTIMATOR; SYSTEMS; PERFORMANCE; DISCRETE

제목: Sampled-Data Stabilization for Fuzzy Genetic Regulatory Networks with Leakage Delays

저자: Ali, M. Syed; Gunasekaran, N.; Ahn, Choon Ki; Shi, Peng

DOI: 10.1109/TCBB.2016.2606477

발행일: 2018-01

유형: Article

저널명: IEEE/ACM Transactions on Computational Biology and Bioinformatics

권: 15

호: 1

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