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1 CRAN - Centre de Recherche en Automatique de Nancy

Abstract : For process control improvement, coherency of information supplied by sensors must first be ensured. Because of the presence of random and possibly gross errors, the model equations of the process are not generally satisfied. The problem of data reconciliation in order to satisfy the model constraints is considered in this article. The simultaneous presence of errors in process input and output measurements poses serious problem in the rectification of data. The proposed procedure to solve this problem involves the use of a special filter to estimate both the parameters, the states and the inputs of a process; smoothing of both estimations of the input and the output is increased by adding in the filter a variance term. Application is proposed for rainfall data validation in order to improve urban sewer network control

keyword : State and parameter estimation linear dynamic model rainfall data validation





Autor: Gilles Mourot - Didier Maquin - José Ragot -

Fuente: https://hal.archives-ouvertes.fr/



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