Global attractivity in delayed Cohen-Grossberg neural network models
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Publication:712100
DOI10.1016/j.chaos.2007.06.064zbMath1197.34137OpenAlexW1994151779MaRDI QIDQ712100
Publication date: 28 October 2010
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.chaos.2007.06.064
Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20)
Related Items (8)
Global dissipativity of non-autonomous BAM neural networks with mixed time-varying delays and discontinuous activations ⋮ Global exponential stability of impulsive Cohen-Grossberg neural networks with continuously distributed delays ⋮ Novel global robust stability criterion for neural networks with delay ⋮ Anti-periodic solutions for a class of Cohen-Grossberg neural networks ⋮ Stability analysis for impulsive Cohen-Grossberg neural networks with time-varying delays and distributed delays ⋮ Robust fixed-time synchronization of discontinuous Cohen–Grossberg neural networks with mixed time delays ⋮ Robust synchronisation control of discontinuous CGNNs with time-varying delays ⋮ Stability of nonlinear differential systems with delay
Cites Work
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- Some criteria for robust stability of Cohen-Grossberg neural networks with delays
- Harmless delays for global asymptotic stability of Cohen--Grossberg neural networks
- Global exponential stability and periodic solutions of Cohen--Grossberg neural networks with continuously distributed delays
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- Global Attractivity in Delayed Hopfield Neural Network Models
- Global asymptotic stability of delayed Cohen-Grossberg neural networks
- Algebraic criteria for global exponential stability of cellular neural networks with multiple time delays
- Neurons with graded response have collective computational properties like those of two-state neurons.
- Stabilization role of inhibitory self-connections in a delayed neural network
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