Record Details

Identification of bilinear models for chemical processes using canonical variate analysis

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Identification of bilinear models for chemical processes using canonical variate analysis
 
Creator LAKSHMINARAYANAN, S
MHATRE, P
GUDI, R
 
Subject nonlinear-systems
hammerstein models
 
Description The identification of nonlinear models for chemical processes solely from experimental data is described in this paper. The canonical variate analysis (CVA) technique that has served well in the identification of empirical linear process models is extended to construct data-based bilinear models in an iterative fashion. Numerous examples involving engineering systems are included to illustrate the practicality of the suggested approach for bilinear model identification. Finally, the use of the identified nonlinear models for control is demonstrated using the example of a simulated paper machine headbox system.
 
Publisher AMER CHEMICAL SOC
 
Date 2011-07-14T07:19:16Z
2011-12-26T12:48:15Z
2011-12-27T05:47:26Z
2011-07-14T07:19:16Z
2011-12-26T12:48:15Z
2011-12-27T05:47:26Z
2001
 
Type Article
 
Identifier INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 40(20), 4415-4427
0888-5885
http://dx.doi.org/10.1021/ie000685b
http://dspace.library.iitb.ac.in/xmlui/handle/10054/3893
http://hdl.handle.net/10054/3893
 
Language en