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Tytuł artykułu

Set membership estimation of parameters and variables in dynamic networks by recursive algorithms with a moving measurement window

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Języki publikacji
EN
Abstrakty
EN
The paper considers a set membership joint estimation of variables and parameters in complex dynamic networks based on parametric uncertain models and limited hard measurements. A recursive estimation algorithm with a moving measurement window is derived that is suitable for on-line network monitoring. The window allows stabilising the classic recursive estimation algorithm and significantly improves estimate tightness. The estimator is validated on a case study regarding a water distribution network. Tight set estimates of unmeasured pipe flows, nodal heads, tank level and pipe resistances are obtained.
Rocznik
Strony
209--217
Opis fizyczny
Bibliogr. 11 poz., rys., wykr.
Twórcy
  • Department of Automatic Control, Gdańsk University of Technology ul. G. Narutowicza 11/12, 80-952 Gdańsk, Poland, kduzin@ely.pg.gda.pl
Bibliografia
  • [1] Brdyś M.A. and Chen K. (1996): Joint estimation of states and parameters of integrated quantity and quality models of dynamic water supply and distribution systems. - Proc. 13-th IFAC World Congress, San Francisco, CA, Vol. 1, pp. 73-78.
  • [2] Brdyś M.A. and Lisiak Z. (1999): Robust soft sensors for on-line monitoring of mixing quality in water supply networks. - Proc. European Control Conf., ECC'99, Karlsruhe, Germany, (CD-ROM).
  • [3] Brdyś M.A., Duzinkiewicz K., Grochowski M. and Rutkowski T. (2001): Robust estimation of integrated hydraulics and parameters in water distribution systems.-Proc. 4-th ASCE Annual Water Distribution Systems Analysis, 2001 World Water and Environmental Resources Congress, Orlando, FL, (CD-ROM).
  • [4] Chang T., Duzinkiewicz K. and Brdy´s M.A. (2004): Bounding approach to parameter estimation of point-parametric models. - Proc. 10-th IFAC/IFORS/IMACS/IFIP Symp. Large Scale Complex Systems, Osaka, Japan, Vol. 1, pp. 233-238.
  • [5] Duzinkiewicz K. (2005): Integrated control of drinking water supply and distribution systems.-D.Sc. thesis, AGH University of Science and Technology Publishers, Cracow, (in Polish).
  • [6] Milanese M., Norton J.P., Piet-Lahanier H. andWalter E. (1996): Bounding Approaches to System Identification. - New York: Plenum Press.
  • [7] Raïssi T., Ramdani N. and Candau Y. (2004): Set membership state and parameter estimation for systems described by nonlinear differential equations. - Automatica, Vol. 40, No. 10, pp. 1771-1777.
  • [8] Rutkowski T., Brdyś M.A., Konarczak K. and Gmi´nski T. (2004): Set-bounded joined parameter and state estimation for model predictive control of integrated wastewater treatment plant systems at medium time scale.-Proc. 10-th IFAC/IFORS/IMACS/IFIP Symp. Large Scale Complex Systems, Osaka, Japan, Vol. 2, pp. 789-794.
  • [9] Schweppe F.C. (1978): Uncertain Dynamic Systems. - Englewood Cliffs, New Jersey: Prentice Hall.
  • [10] Veres S.M. and Norton J.P. (1991): Structure selection for bounded-parameter models: Consistency conditions and selection criterion. - IEEE Trans. Automat. Contr., Vol. 36, No. 4, pp. 474-481.
  • [11] Walter E. and Pronzato L. (1997): Identification of Parametric Models from Empirical Data. -Berlin: Springer.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ1-0028-0018
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