Some results on the stability of analog neural networks with time delays

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Conference Proceeding

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This paper investigates the Global Asymptotic Stability (GAS) independent of time delay for analog neural network models whose self-feedback interconnections have and have no corresponding time delays respectively. By constructing two different Lyapunov functionals, some new sufficient conditions represented by M-matrices, which can guarantee the GAS independent of time delay for the analog neural network models with time delays, are derived. These obtained sufficient conditions for GAS are also compared with the existing ones in the literature.

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IEEE International Conference on Neural Networks - Conference Proceedings

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