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Communication Dans Un Congrès Année : 2009

State and unknown input estimation for nonlinear systems described by Takagi-Sugeno models with unmeasurable premise variables

Dalil Ichalal
Benoît Marx
José Ragot

Résumé

In this paper, a new method to synthesize observers for continuous time nonlinear systems described by Takagi-Sugeno (TS) model with unmeasurable decision variables. First, convergence conditions are established in order to guarantee the convergence of the state estimation error. These conditions are given in Linear Matrix Inequality (LMI) formulation. Secondly, a classical Proportional Integral Observer (PIO) is extended to the considered nonlinear systems in order to estimate the state and the unknown inputs (UI).
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Dates et versions

hal-00376460 , version 1 (31-03-2014)

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Dalil Ichalal, Benoît Marx, José Ragot, Didier Maquin. State and unknown input estimation for nonlinear systems described by Takagi-Sugeno models with unmeasurable premise variables. 17th Mediterranean Conference on Control and Automation, MED'09, Jun 2009, Thessaloniki, Greece. pp.353-358, ⟨10.1109/MED.2009.5164542⟩. ⟨hal-00376460⟩
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