RECURSIVE STATE ESTIMATION FOR UNCERTAIN SYSTEMS WITH AN INTEGRAL QUADRATIC CONSTRAINT

被引：83
|
作者：
SAVKIN, AV
PETERSEN, IR
机构：
[1] UNIV MELBOURNE,COOPERAT RES CTR SENSOR SIGNAL & INFORMAT PROC,PARKVILLE,VIC 3052,AUSTRALIA
[2] AUSTRALIAN DEF FORCE ACAD,DEPT ELECT ENGN,CAMPBELL 2600,AUSTRALIA
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1995年 / 40卷 / 06期
基金：
澳大利亚研究理事会;
关键词：
D O I：
10.1109/9.388688
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper considers a robust state estimation problem for a class of uncertain systems where the noise and uncertainty are modeled deterministically via an integral quadratic constraint. The robust state estimation problem involves constructing the set of all possible states at the current time consistent with given output measurements and the integral quadratic constraint.
引用
收藏
页码：1080 / 1083
页数：4
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