无界可变延迟神经网络的一般稳定性(英文)

General Decay Stability of Stochastic Neural Networks with Unbounded Time-varying Delay

本文研究了无界延迟随机神经网络的稳定性,采用的主要技巧是Razumikhin方法,得到了p阶矩一般衰减率稳定性与几乎必然轨道一般衰减率稳定性.借助于M矩阵技巧使Razumikhin定理更便于应用.

The stability problem for stochastic neural networks with unbounded time-varying delay is investigated.The main technique employed in this paper is Razumikhin method.Both p-th moment stability and almost sure stability with general decay rate are obtained.