Two nonlinear optimization methods for black box identification compared

Automatica

Volumn 46, Issue 10, 2010, Pages 1675-1681

  Van Mulders, Anne ^a   Schoukens, Johan ^a   Volckaert, Marnix ^b   Diehl, Moritz ^b  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^b UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Constraints; Identification algorithms; Nonlinear models; Nonlinear systems; Parameter estimation; State space models

Indexed keywords

BLACK-BOX IDENTIFICATION; CONSTRAINED METHOD; CONSTRAINT EQUATION; CONSTRAINTS; FEED-BACK LOOP; IDENTIFICATION ALGORITHMS; INPUT-OUTPUT DATA; MEASUREMENT DATA; MEMORY EFFICIENT; NON-LINEAR MODEL; NONLINEAR LEAST-SQUARES OPTIMIZATION; NONLINEAR OPTIMIZATION METHODS; NONLINEAR STATE SPACE MODELS; SIMULATION DATA; STATE-SPACE MODELS; UNSTABLE SYSTEM;

ALGORITHMS; EQUATIONS OF STATE; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; OPTIMIZATION;

PARAMETER ESTIMATION;

EID: 77956411374     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2010.06.021     Document Type: Article

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