摘要
文中研究一类具有测量数据部分丢失的大系统状态观测器设计问题。针对一类由N个子系统构成的线性离散关联大系统,假设测量数据丢失满足已知概率的Bernoulli分布,给出了一种状态观测器设计新方法,使原系统和观测器之间的状态误差满足均方指数稳定。采用线性矩阵不等式方法,给出了状态观测器存在的充分条件,通过求解线性矩阵不等式得到观测器参数。最后通过仿真例子说明该方法的有效性。
This paper is concerned with the state observer design for large-scale systems with missing measurements. The linear discrete-time large-scale system was modeled as interconnection of N subsystems. The occurrence of missing measurements is assumed to be a Bernoulli distributed sequence with a known probability. A new state observer is designed to make the mean square error between the state of o- riginal system and state observer exponentially stable. Sufficient conditions are derived in terms of linear matrix inequalities （LMIs） for the existence of a state observer. A numerical example is also provided to demonstrate the validity of the proposed design approach.
出处
《南京邮电大学学报（自然科学版）》
2011年第6期80-84,共5页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金
国家自然科学基金(61004001)
江苏省高校自然科学基金(10KJB12001)
南京邮电大学攀登计划(NY210013
NY210014
NY207091)资助项目
关键词
大系统
测量数据丢失
状态观测器
均方指数稳定
large-scale system
missing measurements
state observer
mean square exponential stable
