Least squares and stochastic gradient parameter estimation for multivariable nonlinear Box-Jenkins models based on the auxiliary model and the multi-innovation identification theory

Author: Chen Jing   Ding Feng  

Publisher: Emerald Group Publishing Ltd

ISSN: 0264-4401

Source: Engineering Computations: Int J for Computer-Aided Engineering, Vol.29, Iss.8, 2012-11, pp. : 907-921

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract