DocumentCode
3318203
Title
LMI Stability Conditions for Takagi-Sugeno Uncertain Descriptors
Author
Bouarar, T. ; Guelton, K. ; Mansouri, B. ; Manamanni, N.
Author_Institution
CReSTIC-URCA, Reims
fYear
2007
fDate
23-26 July 2007
Firstpage
1
Lastpage
6
Abstract
In this paper, stability conditions for a wide class of Takagi-Sugeno uncertain descriptors are proposed. These are based on a quadratic Lyapunov candidate function. In order to solve the stability conditions with classical convex optimization algorithms, matrices transformations have been used to write these conditions in term of linear matrix inequality (LMI). A designed example illustrates the efficiency of the proposed approach.
Keywords
Lyapunov methods; convex programming; fuzzy control; linear matrix inequalities; quadratic programming; stability; LMI stability; Takagi-Sugeno uncertain descriptor; convex optimization; fuzzy control; linear matrix inequality; quadratic Lyapunov candidate function; Context modeling; Fuzzy systems; Linear matrix inequalities; Mechanical systems; Nonlinear control systems; Stability; State-space methods; Symmetric matrices; Systems engineering and theory; Takagi-Sugeno model;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location
London
ISSN
1098-7584
Print_ISBN
1-4244-1209-9
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2007.4295531
Filename
4295531
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