指数稳定性
数学
力矩(物理)
理论(学习稳定性)
噪音(视频)
应用数学
控制理论(社会学)
均方
数学分析
计算机科学
物理
非线性系统
图像(数学)
机器学习
人工智能
经典力学
量子力学
控制(管理)
作者
Jun Yang,Wuneng Zhou,Xueqing Yang,Xin Hu,Liang-Liang Xie
标识
DOI:10.1080/00207179.2015.1014852
摘要
The problem of pth moment asymptotic stability analysis is considered for stochastic delayed hybrid systems with Lévy noise. By virtue of Itô’s formula and M-matrix theories, we propose some sufficient conditions to guarantee the asymptotic stability and exponential stability of the system. The criterion of mean square asymptotic stability is derived as well for delayed neural networks with Lévy noise. A numerical example is provided to show the usefulness of the proposed asymptotic stability criterion.
科研通智能强力驱动
Strongly Powered by AbleSci AI