A Robust Minimax Semidefinite Programming Formulation for Optimal Design of Experiments for Model Parametrization

  • Model-based optimal design of experiments (M-bODE) is a crucial step in model parametrization since it encloses a framework that maximizes the amount of information extracted from a battery of lab experiments. We address the design of M-bODE for dynamic models considering a continuous representation of the design. We use Semidefinite Programming (SDP) to derive robust minmax formulations for nonlinear models, and extend the formulations to other criteria. The approaches are demonstrated for a CSTR where a two-step reaction occurs.

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Author:Belmiro P.M. Duarte, Guillaume Sagnol, Nuno M.C. Oliveira
Document Type:In Proceedings
Parent Title (English):12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering
First Page:905
Last Page:910
Series:Computer Aided Chemical Engineering
Year of first publication:2015