摘要
研究一类具有测量数据部分丢失的网络化系统的故障检测滤波器设计问题.测量数据的丢失假设满足已知概率的Bernoulli分布.设计一个故障检测滤波器,使残差误差系统均方指数稳定且具有一定的扰动衰减水平.采用线性矩阵不等式方法,给出了故障检测滤波器存在的充分条件.最后通过例子说明该方法的有效性.
A fault detection filter(FDF) for a class of networked systems with missing measurements is studied. The packet data loss is modeled as a Bernoulli distributed white sequence with a known conditional probability distribution. A fault detection filter is then designed to make the residual error system exponentially mean-square stable with a prescribed disturbance attenuation level. A sufficient condition is also derived in terms of linear matrix inequality(LMI). Finally, a numerical example illustrates the effectiveness of the proposed approach.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2009年第3期291-295,共5页
Control Theory & Applications
基金
国家自然科学基金资助项目(60874059,60604027)
福建省自然科学基金资助项目(2008J0191,2007J0018)
福建省教育厅项目(JB05015).