TY - JOUR
T1 - Identification of Hammerstein models using multivariate statistical tools
AU - Lakshminarayanan, S.
AU - Shah, Sirish L.
AU - Nandakumar, K.
PY - 1995/11
Y1 - 1995/11
N2 - The iterative Narendra-Gallman algorithm (NGA) for the identification of a nonlinear system representable by the Hammerstein structure is extended to perform simultaneous structure determination and parameter estimation of multivariable chemical process systems. The parameters of the linear system obtained in state space form using canonical correlations analysis and the coefficients of the polynomial type nonlinear elements are alternately adjusted, until convergence, to obtain the model. The theory is illustrated using data from an experimental heat exchanger and the simulation example of a realistically complex acid-base neutralization tank.
AB - The iterative Narendra-Gallman algorithm (NGA) for the identification of a nonlinear system representable by the Hammerstein structure is extended to perform simultaneous structure determination and parameter estimation of multivariable chemical process systems. The parameters of the linear system obtained in state space form using canonical correlations analysis and the coefficients of the polynomial type nonlinear elements are alternately adjusted, until convergence, to obtain the model. The theory is illustrated using data from an experimental heat exchanger and the simulation example of a realistically complex acid-base neutralization tank.
UR - http://www.scopus.com/inward/record.url?scp=0029407056&partnerID=8YFLogxK
U2 - 10.1016/0009-2509(95)00182-5
DO - 10.1016/0009-2509(95)00182-5
M3 - 文章
AN - SCOPUS:0029407056
SN - 0009-2509
VL - 50
SP - 3599
EP - 3613
JO - Chemical Engineering Science
JF - Chemical Engineering Science
IS - 22
ER -