滤波器(信号处理)
控制理论(社会学)
过滤问题
非线性系统
计算机科学
马尔可夫过程
有界函数
跳跃的
滤波器设计
传输(电信)
非线性滤波器
数学
算法
人工智能
控制(管理)
电信
统计
生物
物理
数学分析
量子力学
生理学
计算机视觉
作者
Hua Yang,Zidong Wang,Yuxuan Shen,Fuad E. Alsaadi
标识
DOI:10.1016/j.nahs.2021.101022
摘要
This paper is concerned with the self-triggered filtering problem for a class of Markovian jumping nonlinear stochastic systems. The event-triggered mechanism (ETM) is employed between the sensor and the filter to reduce unnecessary measurement transmission. Governed by the ETM, the measurement is transmitted to the filter as long as a predefined condition is satisfied. The purpose of the addressed problem is to synthesize a filter such that the dynamics of the filtering error is bounded in probability (BIP). A sufficient condition is first given to ensure the boundedness in probability of the filtering error dynamics, and the characterization of the desired filter gains is then realized by means of the feasibility of certain matrix inequalities. Furthermore, a self-triggered mechanism is designed to guarantee the filtering error dynamics to be BSP with excluded Zeno phenomenon. In the end, numerical simulation is carried out to illustrate the usefulness of the proposed self-triggered filtering algorithm.
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