caa a22 4500 606204881 CHVBK 20210128101004.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00034-014-9839-9 doi (NATIONALLICENCE)springer-10.1007/s00034-014-9839-9 Hierarchical Least Squares Identification for Hammerstein Nonlinear Controlled Autoregressive Systems [Elektronische Daten] [Huibo Chen, Feng Ding] This paper considers the parametric identification problems of a Hammerstein nonlinear system which consists of a static nonlinear block followed by a linear dynamic subsystem. A hierarchical least squares algorithm is developed by using the hierarchical identification principle, which decomposes a nonlinear system into several subsystems with smaller dimensions and fewer variables and estimates the parameters of each subsystem, respectively. The performance analysis indicates that the parameter estimates given by the proposed algorithm converge to their true values and the proposed algorithm requires higher computational efficiencies compared with the recursive least squares algorithm. Springer Science+Business Media New York, 2014 Parameter estimation nationallicence Least squares nationallicence Recursive identification nationallicence Hierarchical identification nationallicence Over-parameterization nationallicence Hammerstein model nationallicence Chen Huibo Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, 214122, Wuxi, People's Republic of China aut Ding Feng Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, 214122, Wuxi, People's Republic of China aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/1(2015-01-01), 61-75 0278-081X 34:1<61 2015 34 34 https://doi.org/10.1007/s00034-014-9839-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-014-9839-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen Huibo Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, 214122, Wuxi, People's Republic of China aut NATIONALLICENCE 700 1- Ding Feng Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, 214122, Wuxi, People's Republic of China aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/1(2015-01-01), 61-75 0278-081X 34:1<61 2015 34 34