| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 758542 | Communications in Nonlinear Science and Numerical Simulation | 2011 | 6 Pages |
Abstract
This paper investigates the problem of the global exponential stability for neutral-type impulsive neural networks with mixed delays and Markovian jumping parameters. The mixed delays include discrete and distributed time-delays and the jumping parameters are generated from a continuous time discrete state homogenous Markov process. Based on the Lyapunov functional, a sufficient criterion is derived in terms of linear matrix equality (LMI).
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Authors
Haibo Bao, Jinde Cao,