Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle

Information Sciences

Volumn 222, Issue , 2013, Pages 203-212

  Wang, Dongqing ^a   Ding, Feng ^b   Chu, Yanyun ^c  

^a QINGDAO UNIVERSITY   (China)

^b JIANGNAN UNIVERSITY   (China)

^c Liaocheng Vocational and Technical College   (China)

Author keywords

Hammerstein model; Key term separation principle; Least squares; Output error moving average (OEMA) system; Parameter estimation; Recursive identification

Indexed keywords

HAMMERSTEIN MODEL; LEAST SQUARE; MOVING AVERAGES; RECURSIVE IDENTIFICATION; SEPARATION PRINCIPLE;

ALGORITHMS; CONTROL NONLINEARITIES; COVARIANCE MATRIX; PARAMETER ESTIMATION; SEPARATION;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 84870056674     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2012.07.064     Document Type: Article

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