Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
838055 | Nonlinear Analysis: Real World Applications | 2011 | 10 Pages |
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.
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Authors
Qian Ma, Shengyuan Xu, Yun Zou, Jinjun Lu,