Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
409752 | Neurocomputing | 2015 | 6 Pages |
Abstract
This paper investigates the stability problem for a class of uncertain genetic regulatory networks (GRNs) with time-varying delay via delta operator approach. Both the parameter uncertainty and the generalized activations are considered in the model under study. By constructing an appropriate Lyapunov–Krasovskii functional, the stability and robust stability conditions of GRNs are presented under the delta operator frame. These conditions can be expressed in terms of linear matrix inequalities (LMIs). Finally, a numerical example is employed to illustrate the effectiveness of the proposed results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Qi Zhou, Xueying Shao, Hamid Reza Karimi, Jin Zhu,