Article ID Journal Published Year Pages File Type
4628006 Applied Mathematics and Computation 2014 12 Pages PDF
Abstract

In this paper, the problem of stability analysis for static neural networks with interval time-varying delays is considered. By the consideration of new augmented Lyapunov functionals, new and improved delay-dependent stability criteria to guarantee the asymptotic stability of the concerned networks are proposed with the framework of linear matrix inequalities (LMIs), which can be solved easily by standard numerical packages. The enhancement of the feasible region of the proposed criteria is shown via two numerical examples by the comparison of maximum delay bounds.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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