一种基于非线性规划的数据校正联合算法  

An Integrated Approach of Data Rectification Based-on Nonlinear Programming

作　　者：张仲广[1] 邵之江[1] 

机构地区：[1]浙江大学系统工程研究所,浙江杭州310027

出　　处：《厦门大学学报（自然科学版）》2001年第z1期256-260,共5页Journal of Xiamen University：Natural Science

摘　　要：借鉴了其它数据校正方法的理论思想，在结合序贯二次规划（ＳＱＰ）方法求解最优化问题的基 础上，将数据调和与显著误差检测有机的糅合，提出一种循环迭代处理的联合算法，使数据调和在 快速与有效的基础上具有较高的显著误差检测功效．Data rectification has proven to be an effective technique to improve the quality of measured data in plant operation, and has been studied extensively in recent years. This paper proposes an integrated approach for data r^conciIiation and gross error detection. The whole algorithm is constructed in nonlinear programming framework, with nonlinear equality constraints introduced to reflect balance relationships. Sequential Quadratic Programming is used to solve the problem with all the variables weighted according to their precision.

关 键 词：数据校正.SQP.数据调和.显著误差检测 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]