Set Membership Estimation of Parameters and Variables in Dynamic Networks by Recursive Algorithms with a Moving Measurement Window

نویسنده

  • KAZIMIERZ DUZINKIEWICZ
چکیده

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.

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تاریخ انتشار 2006