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Dynamic data reconciliation for sequential modular simulators

Becerra, V. M., Roberts, P.D. and Griffiths, G.W. (1998) Dynamic data reconciliation for sequential modular simulators. In: UKACC International Conference on Control (CONTROL '98). IEEE Press, pp. 1230-1235. ISBN 085296708X

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To link to this article DOI: 10.1049/cp:19980403

Abstract/Summary

In this paper the implementation of dynamic data reconciliation techniques for sequential modular models is described. The paper is organised as follows. First, an introduction to dynamic data reconciliation is given. Then, the online use of rigorous process models is introduced. The sequential modular approach to dynamic simulation is briefly discussed followed by a short review of the extended Kalman filter. The second section describes how the modules are implemented. A simulation case study and its results are also presented.

Item Type:Book or Report Section
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:19230
Uncontrolled Keywords:dynamic data reconciliation, extended Kalman filter, online operation, process models, sequential modular simulators
Publisher:IEEE Press

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