布朗运动
力矩(物理)
控制理论(社会学)
理论(学习稳定性)
数学
芝诺悖论
事件(粒子物理)
操作员(生物学)
非线性系统
随机过程
运动(物理)
应用数学
计算机科学
经典力学
物理
控制(管理)
统计
几何学
机器学习
人工智能
抑制因子
基因
转录因子
化学
量子力学
生物化学
作者
Zhu De-jun,Jun Tao Yang
出处
期刊:
日期:2021-05-22
卷期号:21: 5512-5517
标识
DOI:10.1109/ccdc52312.2021.9601512
摘要
This paper explores the stability problem of nonlinear stochastic impulsive delayed system driven by G- brownian motion with regard to event-triggered mechanism in theory. Event-triggered method is designed to guarantee that the system more easily enjoys stable properties. In this method, the impulsive of system is produced by some conditions which combine expectation with impulsive instants. Based on employing £-operator and G- Ito formula, this paper proposed consequences supply sufficient conditions for the pth moment asymptotical stability in theory and exhibits the benefits and validity of theoretical analysis. Besides, the non-Zeno behaviour problem is shown in this paper.
科研通智能强力驱动
Strongly Powered by AbleSci AI