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Communication Dans Un Congrès Année : 2016

Joint state and parameter estimation for discrete-time Takagi-Sugeno model

Résumé

Takagi-Sugeno (T-S) models have been popular in analyzing nonlinear systems. Observer designs for T-S models have focused on both cases with measured and unmeasured premise variables. However, the unmeasured premise variables have to be one of the states of the system. If one of the inputs is a premise variable, these approaches are not applicable. A recent literature proposed a joint state and parameter estimation for time-varying unknown parameters in systems of a special type [1]. A discrete-time version of the results is developed in this paper. The modeling approach is described and the stability analysis of the estimation is given using the Lyapunov method with the L2 approach handling the uncertainties.
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Dates et versions

hal-01399791 , version 1 (20-11-2016)

Identifiants

  • HAL Id : hal-01399791 , version 1

Citer

Krishnan Srinivasarengan, José Ragot, Didier Maquin, Christophe Aubrun. Joint state and parameter estimation for discrete-time Takagi-Sugeno model. 13th European Workshop on Advanced Control and Diagnosis, ACD 2016, Nov 2016, Lille, France. ⟨hal-01399791⟩
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