Optimal experimental design with the sigma point method

IET Systems Biology

Volumn 3, Issue 1, 2009, Pages 10-23

  Schenkendorf, R ^a   Kremling, A ^a   Mangold, M ^a  

^a MAX PLANCK INSTITUTE FOR DYNAMICS OF COMPLEX TECHNICAL SYSTEMS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MODELS; CHARACTERISTIC VALUES; ESTIMATED PARAMETERS; FISHER INFORMATIONS; LOWER BOUNDS; MEASUREMENT NOISE; OPTIMAL EXPERIMENTAL DESIGNS; OPTIMISATION METHODS; PARAMETER UNCERTAINTIES; PREDICTIVE MODELS; SIGMA POINTS; SIMULATION AND MEASUREMENTS; SIMULATION RESULTS; UNCERTAIN PARAMETERS;

CONTROL THEORY; DYNAMICAL SYSTEMS; FISHER INFORMATION MATRIX; FUNCTIONS; STATISTICS;

UNCERTAINTY ANALYSIS;

ALGORITHMS; BIOREACTORS; COMPUTER SIMULATION; CONFIDENCE INTERVALS; KINETICS; MODELS, BIOLOGICAL; MONTE CARLO METHOD; RESEARCH DESIGN; SYSTEMS BIOLOGY;

EID: 58849164422     PISSN: 17518849     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-syb:20080094     Document Type: Article

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