Modeling algorithm for new mode in multi-mode process

被引：0
|
作者：
Tan, Shuai [1 ]
Wang, Fu-Li [1 ,2 ]
Peng, Jun [1 ]
Shi, Huai-Tao [1 ]
机构：
[1] College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
[2] Key Laboratory of Integrated Automation of Process Industry of Ministry of Education, Northeastern University, Shenyang 110819, China
来源：
Kongzhi yu Juece/Control and Decision | 2012年 / 27卷 / 08期
关键词：
D O I：
暂无
中图分类号：
O24 [计算数学];
学科分类号：
070102 ;
摘要：
The new mode in multi-mode process can not get enough modeling data in short-term process. And it is hard for traditional statistical methods to extract process characteristics effectively. Therefore, a new algorithm is proposed to solve this problem. The initial model is established based on the characteristics of history models. Historical data with the similar characteristics are found to supply the new modeling data. The iterative model based on the initial model is performed to fit the process more accurately. A large number of simulations in Tennessee Eastman process show the feasibility and effectiveness of the proposed method.
引用
收藏
页码：1241 / 1245
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