Browse by author
Lookup NU author(s): Dr Dominic Searson, Samantha Burnham, Dr Mark Willis, Professor Allen Wright
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
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
Pages: 511-516
Publisher: ACTA Press
Library holdings: Search Newcastle University Library for this item
ISBN: 0889865949
