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Global Robust Exponential Stability of Interval Neural Networks with Delays

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Abstract

In this Letter, based on globally Lipschitz continous activation functions, new conditions ensuring existence, uniqueness and global robust exponential stability of the equilibrium point of interval neural networks with delays are obtained. The delayed Hopfield network, Bidirectional associative memory network and Cellular neural network are special cases of the network model considered in this Letter.

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Sun, C., Feng, CB. Global Robust Exponential Stability of Interval Neural Networks with Delays. Neural Processing Letters 17, 107–115 (2003). https://doi.org/10.1023/A:1022999219879

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  • DOI: https://doi.org/10.1023/A:1022999219879

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