Title
Multivariate feed back control: an application in a productive process
Abstract
The main purpose of this research is to implement a multivariate feedback adjustment proportional to the last deviation from the target, in the set of variables wandering around the target. To apply the controller equation it will be necessary to study the exponentially weighted moving average (EWMA) statistic, in order to determine the behavior of the target disturbances. To determine the forecast values of the variables we will use Seemingly Unrelated Regression (SUR), which is necessary since there is a relationship between the variables and between the errors. In this manner, multivariate feedback adjustment can be reached based on scientific grounds.
Year
DOI
Venue
2004
10.1016/j.cie.2004.05.013
Computers & Industrial Engineering
Keywords
DocType
Volume
Multivariate feedback control,Seemingly unrelated regression,Engineering process control,Statistical process control,Proportional feedback,Monitoring
Journal
46
Issue
ISSN
Citations 
4
0360-8352
1
PageRank 
References 
Authors
0.39
1
3
Name
Order
Citations
PageRank
Adriano Mendonça Souza1113.41
Robert Wayne Samohyl210.73
César O. Malavé3284.16