摘要
针对存在单重丢包的一类离散复杂网络,研究丢包率未知的情况下这类离散复杂网络的状态估计问题。将丢包描述成独立同分布的Bernoulli随机变量形式,利用Lyapunov稳定性理论与随机分析方法,提出以线性矩阵不等式形式描述的离散复杂网络状态估计器存在的充分条件。通过仿真验证,结果表明文中建立的状态估计器能够有效地估计出网络的状态。
The state estimation problem is addressed for a class of discrete-time complex networks with single packet dropout,and the packet dropping probability is unknown. The packet dropout is described with the independent identically distributed Bernoulli random variable. By applying the Lyapunov stability theory and stochastic analysis method,a sufficient condition for state estimation is obtained in the form of linear matrix inequalities（ LMIs）. It is demonstrated by simulations that the proposed state estimator can effectively estimate the network states.
出处
《南京邮电大学学报（自然科学版）》
北大核心
2015年第1期89-94,共6页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金
国家自然科学基金(61374180
61373136)资助项目
关键词
复杂网络
单重丢包
丢包率未知
状态估计
complex networks
single packet dropout
unknown dropping probability
state estimation
