Robust Stability Criteria for Uncertain Stochastic Cellular Neural Networks with Time Delays

Authors:
Jiqing Qiu;Zhifeng Gao;Jufang Wang;Peng Shi
Affiliations:
-;-;-;-
Venue:
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Year:
2007

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New Results on Robust Exponential Stability of Uncertain Stochastic Neural Networks with Mixed Time-Varying Delays

Neural Processing Letters

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Abstract

In this paper, the global robust asymptotic stability prob- lem is considered for stochastic cellular neural networks with time delays and parameter uncertainties. The aim of this paper is to establish easily verifiable conditions un- der which the stochastic cellular neural networks is glob- ally robustly asymptotically stable in the mean square for all admissible parameter uncertainties. Base on Lyapunov- Krasovskii functional and stochastic analysis approaches, a linear matrix inequality (LMI) approach is developed to derive the stability criteria. A numerical example is pro- vided to illustrate the effectiveness and applicability of the proposed criteria.