Lookup NU author(s): Dr Dominic Searson,
Dr Mark Willis,
Professor Allen Wright
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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.
Author(s): Searson DP, Burnham SC, Willis MJ, Wright AR
Editor(s): Wamkeue, R
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Proceedings of the 17th IASTED International Conference on Modelling and Simulation
Year of Conference: 2006
Publisher: ACTA Press
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