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Integration of Optimal Experimental Design and Process Optimisation to An Enzyme Reaction System

A multi-objective experimental design strategy is proposed for a kinetically controlled synthesis process system by considering both the parameter estimation and the desired production yield. The input design is focused on maximising the desired production yield while the observation design is aimed at minimising the parameter estimation uncertainties. This multi-objective experimental design strategy is compared with the integrated experimental design method in which all design factors are optimised to improve parameter estimation quality. The optimal experimental design (OED) problem for observation design is relaxed to a semi-definite programming problem which is solved via interior-point method. Numerical studies demonstrate the efficiency of the proposed OED strategy as well as keeping high production yield. Parameter estimation uncertainties have been reduced significantly and they are near to those from integrated experimental design. The main point of this work is to introduce the idea of combining process optimisation with system identification so that the proposed model is closer to the real operation conditions in chemical processes.