[en] A decoupling approach for state estimation of nonlinear systems represented in the polytopic Takagi-Sugeno with unmeasurable premise variables subject to unknown inputs is
proposed in this paper. The idea consists in defining a state and unknown input transformations in order to divide the state vector into two parts, a measurable part and an observable one
(decoupled from the unknown input). A classical Luenberger observer to estimate the unmeasurable part is then designed and given in terms of Linear Matrix Inequalities (LMIs) conditions.
A numerical example is also presented in order to illustrate the
proposed approach.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Bezzaoucha, Souad ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Voos, Holger ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Davila, Jorge; Instituto Politecnico Nacional, Mexico
Bejarano, Javier; Instituto Politecnico Nacional, Mexico
External co-authors :
yes
Language :
English
Title :
A Decoupling Approach to Design Observers for Polytopic Takagi-Sugeno Models Subject to Unknown Inputs
Publication date :
27 June 2018
Event name :
2018 American Control Conference
Event place :
Milwaukee, United States
Event date :
from 27-06-2018 to 29-06-2018
Audience :
International
Journal title :
Proceedings of the 2018 American Control Conference
