Title :
Parameter estimation in uncertain models of nonlinear dynamic systems
Author :
Leal, D.J. ; Georgantzis, G. ; Roberts, P.D.
Author_Institution :
City University, Department of Systems Science, London, UK
Abstract :
An extension of the classical least-squares identification technique is described and applied in a digital simulation study of a simple chemical reactor.
Keywords :
chemical industry; digital simulation; least squares approximations; nonlinear systems; parameter estimation; chemical reactor; digital simulation study; least squares identification technique; nonlinear dynamic systems; parameter estimation; uncertain models;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19780483
