Article ID Journal Published Year Pages File Type
975094 Physica A: Statistical Mechanics and its Applications 2008 11 Pages PDF
Abstract

In this paper, we investigate the global robust stability for uncertain stochastic neural networks with unbounded time-varying delays and norm-bounded parameter uncertainties. A new concept of global robust μμ-stability in the mean square for neural networks is given first, then by means of the linear matrix inequality (LMI) approach, stability criteria are presented. Several corollaries are also derived. A simple example is presented to demonstrate the effectiveness of the main result.

Related Topics
Physical Sciences and Engineering Mathematics Mathematical Physics
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