摘要
给出了一种基于新鲁棒目标函数的数据校正方法,分析了目标函数的性质及其影响函数,表明了该方法对显著误差具有较强的鲁棒性。对一个线性和非线性化工过程进行了仿真研究,并与常用的Huber鲁棒估计法和Fair鲁棒估计法进行了对比分析。
A new robust objective function-based data reconciliation method was proposed. The objective function properties and its influence function were analyzed to show a stronger robust of the proposed method; a linear and a nonlinear chemical process were simulated and compared with Huber method and Fair method, respectively
出处
《化工自动化及仪表》
CAS
2012年第3期301-304,共4页
Control and Instruments in Chemical Industry
基金
中国博士后科学基金(20110491430)
江苏省博士后科研资助计划(1101086C)
南京理工大学自主科研专项计划资助项目(2010ZYTS053)
关键词
鲁棒性
过失误差
数据校正
robustness, gross error, data reconciliation
