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.
出处
《哈尔滨理工大学学报》
CAS
北大核心
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)
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
missing measurements
distributed time-varying delays
nonlinear systems
networked control systems
