›› 2014, Vol. 27 ›› Issue (5): 182-.

• 论文 • 上一篇    下一篇

线性系统集员估计问题研究

章鹤   

  1. (中航工业西安航空计算技术研究所 第8研究室,陕西 西安 710119)
  • 出版日期:2014-05-15 发布日期:2014-05-14
  • 作者简介:章鹤(1987—),男,助理工程师。研究方向:计算机应用。E-mail:zhanghe631@163.com

Research on Set-Membership Estimation for Linear System

ZHANG He   

  1. (No.8 Laboratory,Avic Computing Technique Research Institute,Xi'an 710119,China)
  • Online:2014-05-15 Published:2014-05-14

摘要:

研究了线性系统下的Norton和基于OBE两种集员估计算法。Norton算法是通过最小体积或最小迹来优化时间更新阶段和测量更新阶段,但其计算量大、效率低。针对这一不足,OBE算法采用最小半径定界椭球来进行测量阶段的更新,从而简化了算法,减少了计算量。最后通过与传统Kalman滤波算法与Norton集员估计算法相比,验证了基于OBE集员估计算法的有效性。

关键词: 集员估计, 线性系统, OBE算法

Abstract:

This paper studies two set-membership estimation algorithms in the linear system:Norton set-membership estimation algorithm and OBE set-membership estimation algorithm.Norton algorithm optimizes time updating stage and measurement updating stage according to the minimum volume or minimum trace,but with huge amount of computation and low efficiency.OBE algorithm optimizes measurement updating stage according to minimum radius bounding ellipsoid,so as to simplify the algorithm and reduce the amount of calculation.Finally,OBE algorithm is compared with the traditional kalman filtering algorithm and Norton set-membership estimation algorithm.The simulation results prove the effectiveness of OBE algorithm.

Key words: set membership estimation;linear system;OBE algorithm

中图分类号: 

  • TP301.6