2018年04月24日 |  English version
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Stabilization of SDEs and applications to synchronization of stochastic neural network driven by G-Brownian motion with state feedback control

报告题目: Stabilization of SDEs and applications to synchronization of stochastic neural network driven by G-Brownian motion with state feedback control

报告人:任永教授 安徽师范大学数学计算机科学学院
报告时间:2018123日(周二)下午4:00
报告地点:行健楼学术活动室665

人:朱全新教授

摘要: In this talk, I introduce the stochastic differential equations driven by G-Brownian motion. Under this new framework, I aim to derive the sufficient condtions for the stabilization of SDEs and applications to synchronization of stochastic neural network driven by G-Brownian motion with state feedback control.

 

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