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Auxiliary model based recursive extended least squares and maximum likelihood estimation algorithms for input nonlinear systems

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4 Author(s)
Li Junhong ; Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, China ; Jiang Ping ; Zhu Hairong ; Ding Rui

This paper studies the identification problems of input nonlinear controlled autoregressive moving average (IN-CARMA) systems, and derived an auxiliary model based recursive extended least squares (AM-RELS) algorithm and a maximum likelihood algorithm based on the Newton optimization method. The simulation results show that the proposed algorithm are effective.

Published in:

Control Conference (CCC), 2012 31st Chinese

Date of Conference:

25-27 July 2012