Skip to Main content Skip to Navigation
New interface
Journal articles

Continuous and Discrete State Estimation for Switched LPV Systems using Parameter Identification

Hector Ríos 1 D Mincarelli 1 Denis Efimov 1 Wilfrid Perruquetti 1 J Davila 2 
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
Abstract : In this paper the problem of discrete and continuous state estimation for a class of uncertain switched LPV systems is addressed. Parameter identification techniques are applied to realize an approximate identification of the scheduled parameters of a switched LPV system with certain uncertainties and/or disturbances. A discrete state estimation is achieved using the parameter identification. A Luenberger-like hybrid observer, based on discrete state information and LMIs approach, is used for the continuous state estimation. The simplicity of the proposed method is one of the main advantages of this paper. The feasibility of the proposed method is illustrated by simulations.
Document type :
Journal articles
Complete list of metadata

Cited literature [30 references]  Display  Hide  Download
Contributor : Denis Efimov Connect in order to contact the contributor
Submitted on : Saturday, August 29, 2015 - 11:36:48 AM
Last modification on : Tuesday, November 22, 2022 - 2:26:16 PM
Long-term archiving on: : Monday, November 30, 2015 - 10:12:29 AM


Files produced by the author(s)



Hector Ríos, D Mincarelli, Denis Efimov, Wilfrid Perruquetti, J Davila. Continuous and Discrete State Estimation for Switched LPV Systems using Parameter Identification. Automatica, 2015, 62, pp.1-8. ⟨10.1016/j.automatica.2015.09.016⟩. ⟨hal-01188367⟩



Record views


Files downloads