Stabilisation of SDEs and applications to synchronisation of stochastic neural network driven by G-Brownian motion with state-feedback control

Stabilisation of SDEs and applications to synchronisation of stochastic neural network driven by G-Brownian motion with state-feedback control
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SDE 的稳定性及其在由 G-布朗运动和状态反馈控制驱动的随机神经网络同步中的应用

DOI:
10.1080/00207721.2018.1551973
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发表时间:
2018-12
影响因子:
4.3
通讯作者:
Zhu Dongjin
Zhu Dongjin
中科院分区:
计算机科学4区
文献类型:
--
作者:
Ren Yong;Yin Wensheng;Zhu Dongjin

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摘要Li,X.,林,X.,和Lin,Y. [(2016年)。Lyapunov型条件与G-布朗运动驱动的随机微分方程。Journal of Mathematicase Analysis and Applications,439,235-255]提出了指数函数的充分条件,
ABSTRACT Li, X., Lin, X., and Lin, Y. [(2016). Lyapunov-type conditions and stochastic differential equations driven by G-Brownian motion. Journal of Mathematicase Analysis and Applications, 439, 235–255] proposed the sufficient conditions for the exponen
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