An improved global stability result for delayed cellular neural networks

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Copy For Citation

Arik S.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, vol.49, no.8, pp.1211-1214, 2002 (SCI-Expanded)

• Publication Type: Article / Article
• Volume: 49 Issue: 8
• Publication Date: 2002
• Doi Number: 10.1109/tcsi.2002.801264
• Journal Name: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS
• Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Page Numbers: pp.1211-1214
• Istanbul University Affiliated: Yes

Abstract

This paper presents a sufficient condition for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks. This result improves and generalizes some of the previous stability results. derived in the literature.