Article ID Journal Published Year Pages File Type
410191 Neurocomputing 2011 7 Pages PDF
Abstract

In this paper, the problem of stability analysis for a general class of uncertain stochastic neural networks with Markovian jumping parameters and mixed mode-dependent delays is considered. By the use of a new Markovian switching Lyapunov–Krasovskii functional, delay-dependent conditions on mean square asymptotic stability are derived in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the proposed approach.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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