Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
758942 | Communications in Nonlinear Science and Numerical Simulation | 2010 | 7 Pages |
Abstract
This paper deals with the robust exponential stability problem for a class of Markovian jumping neural networks with time delay. The delay considered varies randomly, depending on the mode of the networks. By using a new Lyapunov–Krasovskii functional, a delay-dependent stability criterion is presented, which can be expressed in terms of linear matrix inequalities (LMIs). A numerical example is given to show the effectiveness of the results.
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Authors
Wei Han, Yan Liu, Linshan Wang,