Modified dynamic data rectification with differential evolution

摘要：

A modified dynamic data rectification model is proposed aiming at improving the efficiency of classical one which has the problem that when the variance of single measurement point random error distribution is larger than other points. Moreover, a new differential evolution (DE) algorithm is applied to solve a dynamic data rectification problem with the modified model. The promising results illustrate the efficiency of the proposed method and show that it could be used as a reliable tool for solving dynamic data rectification problems.

关键词： data rectification random error DE

作者: GAO Lin

作者单位: with the School of Automation and Electronic Engineering,Qingdao University of Science and Technology,Qingdao CO 266042 China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 4001-4005

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）