Probabilistic PCA-based spatiotemporal multimodeling for nonlinear distributed parameter processes

Industrial and Engineering Chemistry Research

Volumn 51, Issue 19, 2012, Pages 6811-6822

  Qi, Chenkun ^a   Li, Han Xiong ^b,c   Li, Shaoyuan ^a   Zhao, Xianchao ^a   Gao, Feng ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BASIS FUNCTIONS; DIMENSION REDUCTION; DISTRIBUTED PARAMETER; EXPERIMENTAL DATA; FIRST-PRINCIPLES MODEL; INDUSTRIAL PROCESSS; LIKELIHOOD FUNCTIONS; LINEAR METHODS; LOCAL DYNAMICS; LOW ORDER MODELS; LOW-ORDER MODELING; MULTI-MODEL; MULTI-MODELING; MULTIPLE SET; NEURAL MODELS; NONLINEAR DISTRIBUTED PARAMETER SYSTEM; PREDICTION AND CONTROL; PROBABILISTIC PCA; SPATIO-TEMPORAL DATA; SPATIO-TEMPORAL DYNAMICS; SPATIOTEMPORAL MODELING; TIME-SPACE;

DYNAMICS; PRINCIPAL COMPONENT ANALYSIS;

SEPARATION;

EID: 84861114041     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie202613t     Document Type: Article

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