DocumentCode
342710
Title
Automated generation of models for inferential control
Author
Piche, Stephen
Author_Institution
Pavilion Technol., Austin, TX, USA
Volume
5
fYear
1999
fDate
1999
Firstpage
3125
Abstract
Over the past few years, we have implemented many models for inferential control. These models have been developed from historical data using statistical regression or neural network models. In addition, techniques for online biasing and robust model implementations have been developed. The methodology has been encapsulated in a novel software program. This software allows easy creation of models for inferential control
Keywords
inference mechanisms; neural nets; parameter estimation; process control; real-time systems; statistical analysis; automated model generation; inferential control; neural network models; online biasing; parameter estimation; process control; statistical regression; Application software; Automatic control; Automatic generation control; Computer industry; Frequency; Industrial control; Neural networks; Predictive models; Robustness; Sampling methods;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1999. Proceedings of the 1999
Conference_Location
San Diego, CA
ISSN
0743-1619
Print_ISBN
0-7803-4990-3
Type
conf
DOI
10.1109/ACC.1999.782339
Filename
782339
Link To Document