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
复制标题
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
复制
发表时间:
2018-12
影响因子:
4.3
通讯作者:
Zhu Dongjin
中科院分区:
文献类型:
--
作者:
Ren Yong;Yin Wensheng;Zhu Dongjin
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
登录
查看更多内容
影响因子:
1.1
作者:
L. Denis;Mingshang Hu;S. Peng
通讯作者:
L. Denis;Mingshang Hu;S. Peng
DOI:
10.1007/978-3-662-59903-7
发表时间:
2010-02
期刊:
Probability Theory and Stochastic Modelling
影响因子:
--
作者:
S. Peng
通讯作者:
S. Peng
DOI:
10.1109/icmlc.2009.5212306
发表时间:
2016
期刊:
World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering
影响因子:
--
作者:
Liangjian Hu;X. Mao
通讯作者:
Liangjian Hu;X. Mao
影响因子:
6.4
作者:
X. Mao
通讯作者:
X. Mao
DOI:
10.1016/j.sysconle.2014.08.011
发表时间:
2014-11
期刊:
Syst. Control. Lett.
影响因子:
--
作者:
X. Mao;W. Liu;Liangjian Hu;Qi Luo;Jianqiu Lu
通讯作者:
X. Mao;W. Liu;Liangjian Hu;Qi Luo;Jianqiu Lu