Abstract
In this Letter, based on globally Lipschitz continous activation functions, new conditions ensuring existence, uniqueness and global robust exponential stability of the periodic solution of interval-delayed neural networks with periodic input are obtained. All the results obtained are generalizations of some resent results reported in the literature for neural networks with constant input.
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Sun, C., Feng, CB. On Robust Exponential Periodicity of Interval Neural Networks with Delays. Neural Processing Letters 20, 53–61 (2004). https://doi.org/10.1023/B:NEPL.0000039426.58277.7e
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DOI: https://doi.org/10.1023/B:NEPL.0000039426.58277.7e