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
2 SyNeR - Systèmes Non Linéaires et à Retards
3 CEDRIC - Centre d'études et de recherche en informatique et communications
4 IMS - Laboratoire de l'intégration, du matériau au système

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.

Mots clés: Adaptive observers; LPV systems; fault detection

Domaines: Automatique

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, 2014, 136 (2), pp.7. ⟨10.1115/1.4025797⟩. ⟨hal-00843639⟩