Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
473648 | Computers & Mathematics with Applications | 2011 | 4 Pages |
Abstract
The problem of stability analysis of stochastic BAM neural networks with time delays and impulse effects is investigated in this paper. Using the Lyapunov technique and the generalized Hanalay inequality, we characterize theoretically the aggregated effects of impulse and stability properties of the impulse-free version. The present approaches allow us to estimate the feasible upper bounds of impulse strengths and can also extend to the more general impulsive nonlinear systems with delays.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Chuandong Li, Wenfeng Hu, Sichao Wu,