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Communication Dans Un Congrès Année : 2009

Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model with unmeasurable premise variables

Dalil Ichalal
Benoît Marx
José Ragot

Résumé

In this paper, a proportional integral (PI) and a proportional multiple integral observer (PMI) are proposed in order to estimate the state and the unknown inputs of nonlinear systems described by a Takagi-Sugeno model with unmeasurable premise variables. This work is an extension to nonlinear systems of the PI and PMI observers developed for linear systems. The state estimation error is written as a perturbed system. First, the convergence conditions of the state estimation errors between the system and each observer are given in LMI (Linear Matrix Inequality) formulation. Secondly, a comparison between the two observers is made through an academic example.
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Dates et versions

hal-00376475 , version 1 (31-03-2014)

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Citer

Dalil Ichalal, Benoît Marx, José Ragot, Didier Maquin. Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model with unmeasurable premise variables. 17th Mediterranean Conference on Control and Automation, MED'09, Jun 2009, Thessaloniki, Greece. pp.CDROM, ⟨10.1109/MED.2009.5164566⟩. ⟨hal-00376475⟩
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