标量(数学)
马尔可夫过程
跳跃
控制理论(社会学)
理论(学习稳定性)
国家(计算机科学)
计算机科学
随机过程
数学
应用数学
数学优化
算法
统计
物理
人工智能
量子力学
机器学习
控制(管理)
几何学
作者
Guoliang Wang,Shixin Song
标识
DOI:10.1109/ccdc58219.2023.10327385
摘要
This paper investigates the stability of scalar stochastic Markovian jump systems with sampled switching and state signals. The analysis of the system is complicated and difficult due to the fact that both states and modes are sampled. In order to clearly analyse these factors, a comparison method based on the solution of auxiliary functions is proposed to solve the problem of sampling both modes and states. Some novel amplification techniques are also proposed to finally establish the linear inequalities conditions. A numerical example is used to illustrate the effectiveness and superiority of these methods.
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