Exponential convergence of delayed cellular neural networks with time-varying coefficients

DOI10.1016/J.AML.2007.09.008zbMath1161.34354OpenAlexW2021839635MaRDI QIDQ953894

Yi Tang

Publication date: 6 November 2008

Published in: Applied Mathematics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.aml.2007.09.008

zbMATH Keywords

cellular neural networksexponential convergencetime-varying coefficient

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Asymptotic theory of functional-differential equations (34K25) Stability theory of functional-differential equations (34K20)

Related Items (3)

Global exponential convergence of generalized chaotic systems with multiple time-varying and finite distributed delays ⋮ General decay synchronization stability on the nonautonomous BAM recurrent neural networks with delays ⋮ New proof on exponential convergence for cellular neural networks with time-varying delays

Cites Work

• Global exponential stability of cellular neural networks with variable delays
• LMI-based criteria for global robust stability of bidirectional associative memory networks with time delay
• Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays
• Novel delay-dependent robust stability criterion of delayed cellular neural networks

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