Global exponential robust periodicity and stability of interval neural networks with both variable and unbounded delays

DOI10.1016/j.chaos.2006.06.011zbMath1152.93486OpenAlexW2089259776MaRDI QIDQ2519890

Zhen Jiang Zhao

Publication date: 28 January 2009

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2006.06.011

Mathematics Subject Classification ID

Stabilization of systems by feedback (93D15) Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20)

Related Items (3)

Novel global robust stability criterion for neural networks with delay ⋮ Synchronization conditions for chaotic nonlinear continuous neural networks ⋮ Synchronization of delayed fuzzy cellular neural networks based on adaptive control

Cites Work

• Global exponential convergence analysis of delayed neural networks with time-varying delays
• Globally exponentially robust stability and periodicity of delayed neural networks
• Global exponential stability and existence of periodic solutions in BAM networks with delays and reaction-diffusion terms
• Global robust stability of interval cellular neural networks with time-varying delays
• Absolutely exponential stability of a class of neural networks with unbounded delay
• Global robust asymptotical stability of multi-delayed interval neural networks: an LMI approach
• Robustness analysis of a class of discrete-time recurrent neural networks under perturbations
• Convergence analysis of cellular neural networks with unbounded delay

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