Article ID Journal Published Year Pages File Type
406713 Neurocomputing 2013 6 Pages PDF
Abstract

•A new Lyapunov functional containing triple-integral terms is proposed.•Some less conservative stability conditions are obtained.•The proposed method involves fewer decision variables than free-weighting matrices method.

This paper is concerned with the problem of stability analysis of recurrent neural networks with time-varying delay belonging to a given interval. By constructing a novel augmented Lyapunov functional which contains some triple-integral terms, improved delay-dependent stability criteria are derived in terms of linear matrix inequality (LMI) by introducing some free-weighting matrices and using integral inequality technique and convex combination method. Numerical examples are given to illustrate the effectiveness of the proposed method.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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