DocumentCode
622456
Title
Enhanced LMI conditions for quadratic fuzzy control design
Author
Krokavec, Dusan ; Filasova, Anna
Author_Institution
Dept. of Cybern. & Artificial Intell., Tech. Univ. of Kosice, Kosice, Slovakia
fYear
2013
fDate
12-14 June 2013
Firstpage
1207
Lastpage
1212
Abstract
The paper presents design procedures that give the quadratic performances to fuzzy control of nonlinear systems representable by Takagi-Sugeno models. Including the system dynamics by the slack matrices, and extending the Lyapunov function by an integral part, enhanced control design conditions are outlined in terms of linear matrix inequalities. Simulation results illustrate the design procedure and describe the properties of the proposed control design method.
Keywords
Lyapunov methods; control system synthesis; fuzzy control; linear matrix inequalities; nonlinear control systems; LMI conditions; Lyapunov function; Takagi-Sugeno models; linear matrix inequalities; nonlinear systems; quadratic fuzzy control design; slack matrices; system dynamics; Control design; Linear matrix inequalities; Nonlinear dynamical systems; Stability analysis; Symmetric matrices; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location
Hangzhou
ISSN
1948-3449
Print_ISBN
978-1-4673-4707-5
Type
conf
DOI
10.1109/ICCA.2013.6564882
Filename
6564882
Link To Document