Auxiliary model-based least-squares identification methods for Hammerstein output-error systems

Systems and Control Letters

Volumn 56, Issue 5, 2007, Pages 373-380

  Ding, Feng ^a   Shi, Yang ^b   Chen, Tongwen ^c  

^a JIANGNAN UNIVERSITY   (China)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

^c UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Auxiliary model; Convergence properties; Hammerstein models; Hierarchical identification; Least squares; Martingale convergence theorem; Multi innovation identification; Parameter estimation; Recursive identification; Stochastic gradient; Wiener models

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); PARALLEL ALGORITHMS; STOCHASTIC MODELS; THEOREM PROVING;

AUXILIARY MODEL; CONVERGENCE PROPERTIES; HAMMERSTEIN MODELS; HIERARCHICAL IDENTIFICATION; MARTINGALE CONVERGENCE THEOREM; MULTI-INNOVATION IDENTIFICATION; RECURSIVE IDENTIFICATION; STOCHASTIC GRADIENT; WIENER MODELS;

LEAST SQUARES APPROXIMATIONS;

EID: 33947233313     PISSN: 01676911     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sysconle.2006.10.026     Document Type: Article

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