D.P. Searson, S.C. Burnham, M.J. Willis, and A.R. Wright (UK)
Modelling, chemical reaction networks, batch process.
This paper demonstrates how, in principle, the structure of a set of ordinary differential equations representing a chemical mechanism (i.e. a reaction network) can be identified from experimental data obtained from a batch reactor. The proposed system identification method uses a non-linear basis function approach. A case study using noisy data from a simulated batch reactor is used to demonstrate the identification procedure for a reaction network containing 4 chemical species. It is shown that the method is capable of correctly identifying the underlying network of chemical reactions.
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