网络诱导的测量信息丢失与多重时滞离散系统的H_∞滤波  

H_∞ Filtering for Network-induced Discrete Systems with Missing Measurements and Multiple Time Delays

作　　者：车艳[1,2] 舒慧生[2] CHE Yan SHU Huisheng(College of Information Engineering, Putian University, Putian 351100, China School of Computer Science and Technology, Donghua University, Shanghai 201620, China)

机构地区：[1]莆田学院信息工程学院,福建莆田351100 [2]东华大学信息科学与技术学院,上海201620

出　　处：《贵州大学学报（自然科学版）》2017年第3期53-57,共5页Journal of Guizhou University:Natural Sciences

基　　金：福建省教育厅资助省属高校专项课题(JK2015041;JK2015042);福建省教育厅中青年项目(JAT160443);莆田市科技项目(2015G2011)

摘　　要：文章阐述了一类网络诱导的测量信息丢失、多重时滞、随机离散非线性系统的H_∞滤波问题。采用Lyapunov稳定理论和矩阵技术,取得了系统在均方意义下的指数稳定的充分条件,并给出滤波器的设计过程。最后,通过数值例子说明了文章结论的有效性。The H∞ filtering problem was explored under a class of stochastic discrete nonlinear systems with network-induced multiple time delays and missing measurements. By using Lyapunov stability theorem and the matrix technologies,a sufficient condition of exponential stability of these systems in the mean-square sense was achieved,and the designed process of filter was provided. At last,a numerical example was given to demonstrate the validity of the paper results.

关 键 词：网络诱导复杂性 测量数据丢失 多重时延 H∞滤波 随机非线性系统 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]