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. doi: 10.1109/ACC.2000.878707

Abstract/Summary

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.

Additional Information	Proceedings ISBN: 0780355199
Item Type	Conference or Workshop Item (Paper)
URI	https://reading-clone.eprints-hosting.org/id/eprint/19226
Item Type	Conference or Workshop Item
Refereed	Yes
Divisions	Science
Uncontrolled Keywords	Kalman filters, data reconciliation, differential algebraic equations, mixing process, nonlinear systems, process control, sequential modular simulators
Additional Information	Proceedings ISBN: 0780355199
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