Accessibility navigation

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

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: 10.1049/cp:19980403


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
ID Code:19230
Uncontrolled Keywords:dynamic data reconciliation, extended Kalman filter, online operation, process models, sequential modular simulators
Publisher:IEEE Press

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation