测量数据丢失和随机分布时延非线性系统滤波  

Nonlinear Systems Filtering with Missing Measurements and Randomly Distributed Delays

作　　者：车艳[1,2] 舒慧生[2] 王智明[1] 

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

出　　处：《哈尔滨理工大学学报》2011年第6期36-41,共6页Journal of Harbin University of Science and Technology

基　　金：国家自然科学基金(60974030);福建省教育厅A类科技项目(JA11211)

摘　　要：阐述了一类非线性随机离散系统,在测量数据丢失、随机分布时延情况下的滤波问题.利用Bernoulli随机变量刻画测量数据随机丢失与随机分布时延.以统计方式描述的非线性包含了几种常见的非线性约束条件,这几种非线性作为其特例.通过应用李雅普诺夫稳定性理论,取得了基于线性矩阵不等式的充分条件,获得了滤波误差的均方稳定性.最后,通过仿真例子说明文章结论的有效性.The paper concerns the filtering problem for a class of nonlinear stochastic discrete systems with missing measurements and randomly distributed delays.The considered distributing time-varying delays and missing measurements are modeled in random ways governed by Bernoulli stochastic variables.The nonlinearity is expressed by the statistical means,and such a description takes several well-studied nonlinear functions as special cases.By using Lyapunov stability theorem and the linear matrix inequality method,several sufficient conditions are established to guarantee the mean-square stability of the filtering error.Finally,numerical examples are given to demonstrate the validity of the theoretical results.

关 键 词：测量数据丢失 分布时变延迟 非线性系统 网络化控制系统 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]