An Analysis of Global Stability of Cohen-Grossberg Neural Networks with Multiple Time Delays

This paper presents a new sufficient condition for the existence, uniqueness and global asymptotic stability of the equilibrium point for Cohen-Grossberg neural networks with multiple time delays. The results establish a relationship between the network parameters of the neural system independently of the delay parameters. The results are also compared with the previously reported results in the literature.

Authors:

• Zeynep Orman
• Sabri Arik

Keywords:

• Equilibrium and stability analysis
• Cohen-Grossberg Neural Networks
• Lyapunov Functionals.

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