Article ID Journal Published Year Pages File Type
838055 Nonlinear Analysis: Real World Applications 2011 10 Pages PDF
Abstract

Attention in this paper is focused on the study of the problem of asymptotic stability for a class of discrete-time stochastic genetic regulatory networks with time-varying but norm-bounded parameter uncertainties. By the Lyapunov–Krasovskii functional approach, delay-dependent stability criteria are derived in terms of linear matrix inequalities. Simulation examples are provided to show the effectiveness of the proposed results.

Related Topics
Physical Sciences and Engineering Engineering Engineering (General)
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