存在单重内部丢包和外部丢包的离散复杂网络状态估计  

State estimation for a class of discrete-time complex networks with single packet losses and missing measurements

作　　者：陈媛[1] 蒋国平[1] 樊春霞[1] 

机构地区：[1]南京邮电大学自动化学院,江苏南京210023

出　　处：《南京邮电大学学报（自然科学版）》2016年第2期96-103,共8页Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition

基　　金：国家自然科学基金(61374180)资助项目

摘　　要：针对存在单重内部丢包和外部丢包的一类离散有向复杂网络,研究丢包率已知的情况下该类网络的状态估计问题。将复杂网络的单重内部丢包和外部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,以线性矩阵不等式的形式给出离散复杂网络状态估计器存在的充分条件。通过仿真,验证设计方案的有效性。The state estimation problem is addressed for a class of discrete-time complex networks with single packet losses and single missing measurements,and the packet loss probability and missing measurement probability are studied. The process of packet losses of states of complex networks and missing measurements are described with the independent identically distributed Bernoulli random variable. By applying the Lyapunov stability theory combined with 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 estimation method can effectively estimate the network states.

关 键 词：复杂网络 内部丢包 外部丢包 状态估计 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TP202.4[自动化与计算机技术—控制科学与工程]