有数据丢包的复杂网络的鲁棒保性能状态估计

doi:10.3969/j.issn.0255-8297.2015.03.011

应用科学学报 ›› 2015, Vol. 33 ›› Issue (3): 329-340.doi: 10.3969/j.issn.0255-8297.2015.03.011

• 控制与系统 • 上一篇

有数据丢包的复杂网络的鲁棒保性能状态估计

万佑红，安维亮，樊春霞

南京邮电大学自动化学院，南京210003

收稿日期:2014-12-17 修回日期:2015-02-02 出版日期:2015-05-30 发布日期:2015-02-02
作者简介:万佑红，教授，研究方向：通信系统、复杂网络，E-mail：wanyh@njupt.edu.cn
基金资助:
国家自然科学基金(No.61374180)资助

Robust Estimation of Guaranteed Cost State for Complex Network with Missing Measurements

WAN You-hong, AN Wei-liang, FAN Chun-xia

College of Automation, Nanjing University of Posts and Telecommunications,
Nanjing 210003, China

Received:2014-12-17 Revised:2015-02-02 Online:2015-05-30 Published:2015-02-02

摘要/Abstract

摘要： 针对现实网络在数据传输中存在数据丢包和噪声干扰的特点，研究离散时间复
杂网络的鲁棒保性能状态估计问题，旨在减小数据丢包和噪声干扰对状态估计的影响. 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提出了鲁棒保性能状态
估计增益矩阵存在的条件和设计准则，在满足状态估计误差均方指数收敛的前提下，能进一
步使网络的状态估计满足一定的性能指标. 仿真结果表明，鲁棒保性能状态估计器可以有效地
估计复杂网络的状态.

关键词: 复杂网络, 噪声, 数据丢包, 状态估计, 鲁棒保性能控制

Abstract: To deal with data dropouts and noise in data transmission, this paper studies
robust guaranteed cost state estimation of discrete-time complex networks, and focuses on
reducing influence of data dropouts and noises on state estimation. Using the Lyapunov
stability theory combined with stochastic analysis, an existence condition of the gain matrix
and the relevant design criteria used in the robust guaranteed cost state estimation are
proposed with linear matrix inequalities. With convergence of the estimation mean-square
error, the robust guaranteed cost performance requirements are satisfied. Numerical simulation
shows effectiveness and applicability of the proposed design approach.

Key words: complex network, noise, data dropouts, state estimation, robust guaranteed cost control

中图分类号:

TP273

万佑红，安维亮，樊春霞. 有数据丢包的复杂网络的鲁棒保性能状态估计[J]. 应用科学学报, 2015, 33(3): 329-340.

WAN You-hong, AN Wei-liang, FAN Chun-xia. Robust Estimation of Guaranteed Cost State for Complex Network with Missing Measurements[J]. Journal of Applied Sciences, 2015, 33(3): 329-340.

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有数据丢包的复杂网络的鲁棒保性能状态估计

Robust Estimation of Guaranteed Cost State for Complex Network with Missing Measurements

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