论文信息 - Three tanks level estimation using Divided Difference Filters

Three tanks level estimation using Divided Difference Filters

This paper deals with state estimation of nonlinear systems using Divided Difference Filters (DDF) which are derivate-free Kalman filtering approach. The performances in convergence, robustness and numerical stability of DDF, in state estimation of nonlinear systems are illustrated by an application to a three-tank system. The DDF are easy to implement because they require only the state and the output models and no partial derivatives are looked-for.

Mekki Ksouri | Faouzi Bouani | Hichem Salhi

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