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.
@article{bwmeta1.element.bwnjournal-article-amcv16i2p209bwm,
author = {Duzinkiewicz, Kazimierz},
title = {Set membership estimation of parameters and variables in dynamic networks by recursive algorithms with a moving measurement window},
journal = {International Journal of Applied Mathematics and Computer Science},
volume = {16},
year = {2006},
pages = {209-217},
zbl = {1111.93049},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-amcv16i2p209bwm}
}
Duzinkiewicz, Kazimierz. Set membership estimation of parameters and variables in dynamic networks by recursive algorithms with a moving measurement window. International Journal of Applied Mathematics and Computer Science, Tome 16 (2006) pp. 209-217. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-amcv16i2p209bwm/
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