Title :
Input-output data filtering based recursive least squares identification algorithm for Hammerstein OEAR models
Author :
Junsheng Zhao ; Xingjiang Yu ; Jianwei Xia
Author_Institution :
Sch. of Math., Liaocheng Univ., Liaocheng, China
Abstract :
For the Hammerstein OEAR model we proposed the input-output data filtering based recursive least squares algorithm (H-F-RLS). Numerical simulations show that the H-F-RLS algorithm is effective and can obtain accurate parameter estimates.
Keywords :
filtering theory; least squares approximations; parameter estimation; recursive filters; H-F-RLS algorithm; Hammerstein OEAR model; input-output data filtering; numerical simulation; parameter estimation; recursive least squares identification algorithm; Algorithm design and analysis; Computational modeling; Data models; Mathematical model; Noise; Polynomials; Signal processing algorithms; Hammerstein OEAR model; filtering based; recursive least squares;
Conference_Titel :
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN :
978-1-4799-2537-7
DOI :
10.1109/ICMC.2014.7231970
