文章基本信息

标题：Set membership estimation of parameters and variables in dynamic networks by recursive algorithms with a moving measurement window
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作者：Kazimierz Duzinkiewicz
期刊名称：International Journal of Applied Mathematics and Computer Science
电子版ISSN：2083-8492
出版年度：2006
卷号：16
期号：2
出版社：De Gruyter Open
摘要：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
关键词：set membership estimation; uncertainty; complexity; networks; water distribution