Modeling of dynamic systems using latent variable and subspace methods

Journal of Chemometrics

Volumn 14, Issue 5-6, 2000, Pages 423-439

  Shi, Ruijie ^a   MacGregor, John F ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

Canonical correlation analysis; Dynamic process modeling; PLS; Process monitoring; Subspace identification methods; System identification

Indexed keywords

CORRELATION METHODS; FAULT DETECTION; IDENTIFICATION (CONTROL SYSTEMS); LEAST SQUARES APPROXIMATIONS; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PROCESS MONITORING; RELIGIOUS BUILDINGS; SINGULAR VALUE DECOMPOSITION; STATE SPACE METHODS; STATISTICAL PROCESS CONTROL;

CANONICAL CORRELATIONS ANALYSIS; DYNAMIC PROCESS MODELING; DYNAMICS MODELS; LAGGED VARIABLES; LATENT VARIABLE; LATENT VARIABLE METHODS; PARTIAL LEAST-SQUARES; SUBSPACE IDENTIFICATION METHODS; SUBSPACE METHOD; SYSTEM-IDENTIFICATION;

DYNAMIC MODELS;

ANALYTIC METHOD; CONFERENCE PAPER; CORRELATION FUNCTION; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SIMULATION; STATISTICAL MODEL;

EID: 0033652276     PISSN: 08869383     EISSN: None     Source Type: Journal    
DOI: 10.1002/1099-128X(200009/12)14:5/6<423::AID-CEM615>3.0.CO;2-B     Document Type: Conference Paper

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