Dynamic data reconciliation for sequential modular simulators: application to a mixing processBecerra, V. M., Roberts, P. D. and Griffiths, G. W. (2000) Dynamic data reconciliation for sequential modular simulators: application to a mixing process. In: American Control Conference, 2000, 28-30 Jun 2000, Chicago, IL, USA, pp. 2740-2744, https://doi.org/10.1109/ACC.2000.878707. Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1109/ACC.2000.878707 Abstract/SummaryThis paper describes a method for dynamic data reconciliation of nonlinear systems that are simulated using the sequential modular approach, and where individual modules are represented by a class of differential algebraic equations. The estimation technique consists of a bank of extended Kalman filters that are integrated with the modules. The paper reports a study based on experimental data obtained from a pilot scale mixing process.
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