DocumentCode :
2938712
Title :
On the stabilization of continuous fuzzy models using their discretized forms
Author :
Ellouze, A. ; Lauber, J. ; Delmotte, F. ; Chtourou, M. ; Ksantini, M.
Author_Institution :
Dept. of Electr. Eng., Univ. of Sfax, Sfax, Tunisia
fYear :
2012
fDate :
3-6 July 2012
Firstpage :
621
Lastpage :
626
Abstract :
This paper proposes a new method to stabilize the continuous-time TS fuzzy models by using results from their discretized models. The proposed approach is structured as follows: first, a discrete model is obtained from the discretization of the continuous TS fuzzy model. Second the gains of a non-PDC controller ensuring the stabilization of the discrete model are determined. Third, we check if the discrete control law used continuously without any zero-order hold can stabilize the continuous TS model. It is obvious that two sets of LMIS conditions are obtained: one for the discrete model, and one for the continuous on. But these two sets of LMIS conditions are much easier to solve than a single set of BMIS conditions usually found when a non PDC control law is directly applied to a continuous model. Simulation examples illustrate the effectiveness of this approach.
Keywords :
continuous systems; discrete systems; fuzzy control; linear matrix inequalities; stability; LMIS conditions; PDC control law; continuous fuzzy models; continuous time TS fuzzy models; discrete control law; discrete model; discretized forms; non-PDC controller; stability; Approximation methods; Educational institutions; Fuzzy systems; Lyapunov methods; Mathematical model; PD control; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (MED), 2012 20th Mediterranean Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-2530-1
Electronic_ISBN :
978-1-4673-2529-5
Type :
conf
DOI :
10.1109/MED.2012.6265707
Filename :
6265707
Link To Document :
بازگشت