Improving prediction capabilities of complex dynamic models via parameter selection and estimation

Chemical Engineering Science

Volumn 64, Issue 19, 2009, Pages 4178-4185

  Chu, Yunfei ^a   Huang, Zuyi ^a   Hahn, Juergen ^a  

^a Texas AandM University   (United States)

Author keywords

Mathematical modeling; Nonlinear dynamics; Parameter identification; Parameter selection; Sensitivity analysis

Indexed keywords

CHEMICAL REACTION NETWORKS; COMPLEX DYNAMICS; DETAILED MODELS; EXPERIMENTAL DATA; FORWARD SELECTION; LEVEL OF DETAIL; MATHEMATICAL MODELING; MEAN SQUARED ERROR; NONLINEAR DYNAMICS; ORTHOGONALIZATION; OVERFITTING; PARAMETER IDENTIFICATION; PARAMETER SELECTION; PREDICTION CAPABILITY; QUANTITATIVE DATA; SIGNAL TRANSDUCTION PATHWAYS; SQUARED PREDICTION ERRORS;

CHEMICAL REACTIONS; MATHEMATICAL MODELS; MOBILE TELECOMMUNICATION SYSTEMS; SENSITIVITY ANALYSIS; SIGNAL TRANSDUCTION;

PARAMETER ESTIMATION;

EID: 68049127780     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2009.06.057     Document Type: Article

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