Global Robust Stability of Delayed Neural Networks: Estimating Upper Limit of Norm of Delayed Connection Weight Matrix

Abstract

The question of estimating the upper limit of parallel to B parallel to(2), which is a key step in some recently reported global robust stability criteria for delayed neural networks, is revisited (B denotes the delayed connection weight matrix). Recently, Cao, Huang, and Qu have given an estimate of the upper limit of parallel to B parallel to(2). In the present paper, an alternative estimate of the upper limit of parallel to B parallel to(2) is highlighted. It is shown that the alternative estimate may yield some new global robust stability results. (c) 2005 Elsevier Ltd. All rights reserved.