Almost sure exponential stability of delayed cellular neural networks

Date

2007-03-15

Authors

Huang, Chuangxia
He, Yigang
Huang, Lihong

Journal Title

Journal ISSN

Volume Title

Publisher

Texas State University-San Marcos, Department of Mathematics

Abstract

The stability of stochastic delayed Cellular Neural Networks (DCNN) is investigated in this paper. Using suitable Lyapunov functional and the semimartingale convergence theorem, we obtain some sufficient conditions for checking the almost sure exponential stability of the DCNN.

Description

Keywords

Stochastic, Cellular neural networks, Almost sure exponential stability, Lyapunov functional

Citation

Huang, C., He, Y., & Huang, L. (2007). Almost sure exponential stability of delayed cellular neural networks. <i>Electronic Journal of Differential Equations, 2007</i>(44), pp. 1-6.

Rights

Attribution 4.0 International

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