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Communication Dans Un Congrès Année : 2004

Data reconciliation: a robust approach using contaminated distribution

Résumé

On-line optimisation provides a means for maintaining a process around its optimum operating plant. An important component of optimisation relies in data reconciliation which is used for obtaining consistent data. On a mathematical point of view, the formulation is generally based on the assumption that the measurement errors have normally pdf with zero mean. Unfortunately, in the presence of gross errors, all of the adjustments are greatly affected by such biases and would not be considered as reliable indicators of the state of the process. This paper proposes a data reconciliation strategy that deals with the presence of such gross errors.
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Dates et versions

hal-00151299 , version 1 (26-03-2014)

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  • HAL Id : hal-00151299 , version 1

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José Ragot, Mohammed Chadli, Didier Maquin. Data reconciliation: a robust approach using contaminated distribution. American Control Conference, ACC'2004, Jun 2004, Boston, United States. pp.CDROM. ⟨hal-00151299⟩
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