title: Sampled-Data Stabilization for Fuzzy Genetic Regulatory Networks with Leakage Delays.
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.
authors.forename: M Syed
authors.initials: MS
authors.lastname: Ali
authors.forename: N
authors.initials: N
authors.lastname: Gunasekaran
authors.forename: Choon Ki
authors.initials: CK
authors.lastname: Ahn
authors.forename: Peng
authors.initials: P
authors.lastname: Shi