Record Details

Modeling of pH process using wavenet based Hammerstein model

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Modeling of pH process using wavenet based Hammerstein model
 
Creator SMITH, JG
KAMAT, S
MADHAVAN, KP
 
Subject wiener model
identification
networks
signals
hammerstein
wavenet
ph
 
Description This paper outlines an approach for developing a Hammerstein model for nonlinear dynamic systems. The nonlinearity is sought to be captured through functional approximation using wavelets cast in a wavenet structure. Nonlinear block of wavenet at input side is cascaded with a linear dynamic block described by a state space model. A sequential approach is used for development of static nonlinear and linear dynamic parts of the model. Configuration and parameters of the nonlinear wavenet structure are determined from near steady state data extracted from dynamic test data while the state space model parameters of the linear dynamic part are obtained using a subspace identification approach. This approach has been applied for modeling a strongly nonlinear pH process operated over a wide range of operating conditions. (C) 2006
 
Publisher ELSEVIER SCI LTD
 
Date 2011-07-22T08:12:10Z
2011-12-26T12:52:21Z
2011-12-27T05:35:04Z
2011-07-22T08:12:10Z
2011-12-26T12:52:21Z
2011-12-27T05:35:04Z
2007
 
Type Article
 
Identifier JOURNAL OF PROCESS CONTROL, 17(6), 551-561
0959-1524
http://dx.doi.org/10.1016/j.jprocont.2006.11.001
http://dspace.library.iitb.ac.in/xmlui/handle/10054/6162
http://hdl.handle.net/10054/6162
 
Language en