Measurement noise reduction and parameter estimation is a topic of central importance in plant control. The complexity of real world plants and the working conditions in practice require robust real-time algorithms which are easy to implement, simple to use and economic in computer ressources. The state of the art is given by the novel approach of Liebman et al. called the NDDR (nonlinear dynamic data reconciliation) which is based on nonlinear dynamic programming. We present in the present paper a new algorithm based more traditionally on gradient descent methods supplemented with a self control of the parameters of the algorithm. It uses an iterative method for the rectification and correction of state variables and system parameters, what makes it a true on-line algorithm. Despite its simplicity, the perfomance of the new algorithm proved superior to that of the NDDR in the applications considered so far.


    Access

    Download


    Export, share and cite



    Title :

    Incremental nonlinear dynamic data reconciliation


    Contributors:
    Der, Ralf (author) / Lummer, Olaf (author) / List, Thomas (author)

    Publication date :

    1998-01-01


    Remarks:

    Report / Institut für Informatik


    Type of media :

    Book


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    004 / 629



    Robust Nonlinear Spacecraft Attitude Control using Incremental Nonlinear Dynamic Inversion.

    Acquatella, Paul / Falkena, Wouter / van Kampen, Erik-Jan et al. | AIAA | 2012


    Robust Nonlinear Spacecraft Attitude Control using Incremental Nonlinear Dynamic Inversion

    Acquatella, P. / Falkena, W. / Van Kampen, E.-J. et al. | British Library Conference Proceedings | 2012


    Stability Analysis for Incremental Nonlinear Dynamic Inversion Control

    Wang, Xuerui / van Kampen, Erik-Jan / Chu, Qiping et al. | AIAA | 2019


    Stability Analysis for Incremental Nonlinear Dynamic Inversion Control

    Wang, Xuerui / Van Kampen, Erik-Jan / Chu, Q Ping et al. | AIAA | 2018


    TRAFFIC DATA RECONCILIATION AND BROKERING

    SCHLESINGER BENNY / WEINBERG SHIRA | European Patent Office | 2019

    Free access