An improved global exponential stability criterion for delayed neural networks

DOI10.1016/j.nonrwa.2008.04.011zbMath1163.92304OpenAlexW2025377705MaRDI QIDQ1026753

Kaiyu Liu, Hongqiang Zhang

Publication date: 29 June 2009

Published in: Nonlinear Analysis. Real World Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.nonrwa.2008.04.011

zbMATH Keywords

linear matrix inequalityBellman inequalityHalanay inequality

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

Robust convergence of Cohen-Grossberg neural networks with mode-dependent time-varying delays and Markovian jump

Cites Work

• Global asymptotic stability of a larger class of neural networks with constant time delay
• New exponential stability results for delayed neural networks with time varying delays
• A new approach to exponential stability analysis of neural networks with time-varying delays
• Linear Matrix Inequalities in System and Control Theory
• Global stability conditions for delayed CNNs
• A set of stability criteria for delayed cellular neural networks
• Global dynamics of Hopfield neural networks involving variable delays

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