Optimal Robust Estimation for Linear Uncertain Systems with Single Delayed Measurement  

作　　者：ZHAO Hong-Guo ZHANG Huan-Shui ZHANG Cheng-Hui 

机构地区：[1]School of Control Science and Engineering, Shandong University, Jinan 250061, P.R. China

出　　处：《自动化学报》2008年第2期202-207,共6页Acta Automatica Sinica

基　　金：Supported by National Natural Science Foundation of China(60574016)

摘　　要：这份报纸与单个推迟的测量为线性不明确的系统处理最佳的柔韧的评价问题。最佳的柔韧的评估者基于重新组织的革新分析途径被导出。最佳的柔韧的评估者的计算涉及解决象原来的系统的一样的尺寸的二个 Riccati 差别方程和一个 Lyapunov 方程。一个数字例子被给显示出建议途径的有效性。This paper deals with the optimal robust estimation problem for linear uncertain systems with single delayed measurement. The optimal robust estimator is derived based on the reorganized innovation analysis approach. The calculation of the optimal robust estimator involves solving two Riccati difference equations of the same dimensions as that of the original systems and one Lyapunov equation. A numerical example is given to show the effectiveness of the proposed approach.

关 键 词：最佳强估计 线性不确定系统 延时测量 差分方程 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]