Identification of highly accurate low order state space models in the frequency domain

Signal Processing

Volumn 52, Issue 2, 1996, Pages 195-207

  Jacques, Robert N ^a   Liu, Ketao ^a,b   Miller, David W ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b BOEING COMPANY   (United States)

Author keywords

Frequency domain methods; State space modeling; Subspace methods; System identification

Indexed keywords

ALGORITHMS; FREQUENCY DOMAIN ANALYSIS; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; OBSERVABILITY; OPTIMIZATION;

FREQUENCY DOMAIN OBSERVABILITY RANGE SPACE EXTRACTION (FORSE); HIGH ACCURACY MODEL IDENTIFICATION; IFORSEL PARAMETER ESTIMATION ALGORITHM; LOW ORDER MODEL IDENTIFICATION; SUBSPACE BASED IDENTIFICATION ALGORITHMS;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 0030197261     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-1684(96)00053-9     Document Type: Article

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