A backoff strategy for model-based experiment design under parametric uncertainty

AIChE Journal

Volumn 56, Issue 8, 2010, Pages 2088-2102

  Galvanin, Federico ^a,b   Barolo, Massimiliano ^a   Bezzo, Fabrizio ^a   Macchietto, Sandro ^b  

^a UNIVERSITY OF PADOVA   (Italy)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Backoff strategy; Biomedical engineering; Feasibility under uncertainty; Mathematical modelling; Model based design of experiments

Indexed keywords

BACK-OFF; BACKOFFS; CONSTRAINED DESIGN; DATA SETS; DESIGN EFFICIENCY; DESIGNED EXPERIMENTS; DETERMINISTIC MODELS; EFFECTIVE TOOL; EXPERIMENT DESIGN; FEASIBILITY UNDER UNCERTAINTY; FEASIBLE REGIONS; GENERAL METHODOLOGIES; ITERATIVE MODEL; MATHEMATICAL MODELLING; MODEL BASED APPROACH; MODEL PARAMETERS; MODEL-BASED EXPERIMENT DESIGN; OPTIMAL EXPERIMENTS; OPTIMALITY; PARAMETER DISTRIBUTIONS; PARAMETER IDENTIFICATION; PARAMETER SET; PARAMETRIC UNCERTAINTIES; PROCESS DATA; PROCESS MODEL; RAPID DEVELOPMENT; SYSTEM RESPONSE; WORST CASE;

BIOMEDICAL ENGINEERING; COMPUTER SIMULATION; DESIGN OF EXPERIMENTS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS;

PHYSIOLOGICAL MODELS;

EID: 77958600112     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.12138     Document Type: Article

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