Multi-innovation least squares identification methods based on the auxiliary model for MISO systems

Applied Mathematics and Computation

Volumn 187, Issue 2, 2007, Pages 658-668

  Ding, Feng ^a   Chen, Huibo ^a   Li, Ming ^b  

^a JIANGNAN UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Auxiliary model; Convergence properties; Estimation; Hierarchical identification; Least squares; Multi innovation identification; Multivariable systems; Recursive identification

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; SYSTEMS ENGINEERING;

AUXILIARY MODEL; CONVERGENCE PROPERTIES; HIERARCHICAL IDENTIFICATION; MULTI-INNOVATION IDENTIFICATION; RECURSIVE IDENTIFICATION;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 34247197061     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2006.08.090     Document Type: Article

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