A new subspace identification approach based on principal component analysis

Journal of Process Control

Volumn 12, Issue 8, 2002, Pages 841-855

  Wang, Jin ^a   Qin, S Joe ^a  

^a The University of Texas at Austin   (United States)

Author keywords

Akaike information criterion; Errors in variables; Principal component analysis; Subspace model identification

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS;

SUBSPACE MODEL IDENTIFICATION (SMI);

PROCESS CONTROL;

EID: 0036778659     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0959-1524(02)00016-1     Document Type: Article

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