Construct MIMO process control system by using soft computing methods

被引：1
|
作者：
Jui-Chin Jiang
Feng-Yuan Hsiao
机构：
[1] Chung-Yuan Christian University,Department of Industrial Engineering
来源：
The International Journal of Advanced Manufacturing Technology | 2007年 / 33卷
关键词：
Engineering process control; Multiple-input multiple-output; Soft computing; Statistical process control;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The main objective of this study aims at multiple-input multiple-output (MIMO) process mode. Based on the integrated concepts of statistical process control (SPC) and engineering process control (EPC), soft computing (SC) technique and statistical analysis technique are combined to modularize the relationship between process output and process input, so optimal yield can be derived and process quality can be improved. This study intended to construct a MIMO process control system with soft computing methods for prediction and parameter control and detailed the internal operation for each sub-system and relationship among one another. Besides correct prediction and diagnosis for the noise due to system deviation, it effectively controls process input and output as well as achieves process optimization.
引用
收藏
页码：511 / 520
页数：9
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