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Set Adaptive Observers for Linear Parameter-Varying Systems: Application to Fault Detection

Denis Efimov 1, 2 Tarek Raissi 3 Ali Zolghadri 4
1 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
2 SyNeR - Systèmes Non Linéaires et à Retards
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : This paper deals with the problem of joint state and parameter estimation based on a set adaptive observer design. The problem is formulated and solved for an LPV (Linear Parameter-Varying) system. The resolution methodology avoids the exponential complexity obstruction usually encountered in the set-membership parameter estimation. A simulation example is presented to illustrate the efficiency of the proposed approach.
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Submitted on : Thursday, July 11, 2013 - 7:09:51 PM
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Denis Efimov, Tarek Raissi, Ali Zolghadri. Set Adaptive Observers for Linear Parameter-Varying Systems: Application to Fault Detection. Journal of Dynamic Systems, Measurement, and Control, American Society of Mechanical Engineers, 2014, 136 (2), pp.7. ⟨10.1115/1.4025797⟩. ⟨hal-00843639⟩

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