Dynamic data reconciliation for sequential modular simulators

Victor Manuel Becerra, P.D. Roberts, G.W. Griffiths

    Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution


    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.
    Original languageEnglish
    Title of host publicationUKACC International Conference on Control '98
    PublisherIET Conference Publications
    ISBN (Print)085296708X
    Publication statusPublished - 1 Sept 1998

    Publication series

    NameConference publication
    PublisherIET Conference Publications
    ISSN (Print)0537-9989


    • dynamic data reconciliation, extended Kalman filter, online operation, process models, sequential modular simulators


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