Parameter identification for Hammerstein nonlinear systems using the maximum likelihood principle and Levenberg-Marquardt optimization method
- Li, Junhong
- Zheng, Wei Xing (R8901)
- Gu, Juping
- Hua, Liang
Publication date
January 2016
DOI Publisher
Institute of Electrical and Electronics Engineers (IEEE)Abstract
This paper studies the parameter estimation problems of Hammerstein output error autoregressive (OEAR) systems. A maximum likelihood Levenberg-Marquardt recursive (ML-LM-R) algorithm using the varying interval input-output data is presented by using the maximum likelihood principle and Levenberg-Marquardt optimization method. The effectiveness of the algorithm is verified by a numerical example
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