A Bayesian model averaging based multi-kernel Gaussian process regression framework for nonlinear state estimation and quality prediction of multiphase batch processes with transient dynamics and uncertainty

Chemical Engineering Science

Volumn 93, Issue , 2013, Pages 96-109

  Yu, Jie ^a   Chen, Kuilin ^a   Rashid, Mudassir M ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

Bayesian model averaging; Between phase transient dynamics; Multi kernel Gaussian process regression; Multiphase batch process; Nonlinear state estimation; Quality prediction

Indexed keywords

BATCH DATA PROCESSING; BAYESIAN NETWORKS; FORECASTING; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); REGRESSION ANALYSIS; STATE ESTIMATION;

BAYESIAN MODEL AVERAGING; GAUSSIAN PROCESS REGRESSION; MULTIPHASE BATCH PROCESS; NONLINEAR STATE ESTIMATION; QUALITY PREDICTION; TRANSIENT DYNAMICS;

DYNAMICS;

EID: 84874515333     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2013.01.058     Document Type: Article

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