Dynamic data reconciliation for sequential modular simulators: application to a mixing process
Becerra, 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.
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To link to this article DOI: 10.1109/ACC.2000.878707
This 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.