Abstract
In this paper, we present a stability criterion for a high-order neural network with one proportional delay. Unlike most existing results about time-delayed high-order neural networks, the proportional delay mentioned here is unbounded and time-varying. The stability criterion obtained in this paper has some improvements and advantages compared with ones in some existing results, which is further explained by numerical examples. The approach proposed in this paper is also available for (high-order) neural networks with multiple proportional delays.
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