Recursive GPR for nonlinear dynamic process modeling

Chemical Engineering Journal

Volumn 173, Issue 2, 2011, Pages 636-643

  Ni, Wangdong ^a   Tan, Soon Keat ^b   Ng, Wun Jern ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Bias correction; Gaussian process regression; Nonlinear system modeling; Recursive GPR

Indexed keywords

ADAPTATION STRATEGIES; AUTOREGRESSION; BIAS CORRECTION; DYNAMIC PROCESS; EXOGENOUS INPUT; GAUSSIAN PROCESS REGRESSION; NON-LINEAR DYNAMIC SYSTEMS; NON-LINEAR DYNAMICS; NONLINEAR SYSTEM MODELING; PROCESS DYNAMICS; PROCESS PARAMETER VALUES; PROPYLENE POLYMERIZATION; RECURSIVE GPR; SIMULATION RESULT; TRAINING PARAMETERS;

COMPUTER SIMULATION; DYNAMICAL SYSTEMS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); NONLINEAR DYNAMICAL SYSTEMS; PROPYLENE; REGRESSION ANALYSIS;

DYNAMIC MODELS;

EID: 80052566365     PISSN: 13858947     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cej.2011.08.021     Document Type: Article

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