DocumentCode
3586109
Title
Adaptive Fuzzy Sliding Mode Control for uncertain nonlinear SISO systems
Author
Amieur, T. ; Sedraoui, M. ; Amieur, O. ; Djeddi, A. ; Houam, Y.
Author_Institution
Dept. of Electr. Eng., Kasdi Merbah Univ., Ouargla, Algeria
fYear
2014
Firstpage
142
Lastpage
147
Abstract
In this article, a novel Adaptive Fuzzy Sliding Mode Control (AFSMC) methodology is proposed based on the integration of Sliding Mode Control (SMC) and Adaptive Fuzzy Control (AFC). Using Lyapunov stability theory and Barbalat´s lemma, the closed-loop system is proved to be stable and convergence properties of the system is assured. Simulation examples are presented to verify the effectiveness of the method.
Keywords
Lyapunov methods; adaptive control; closed loop systems; convergence; fuzzy control; nonlinear control systems; uncertain systems; variable structure systems; AFC; AFSMC methodology; Barbalat lemma; Lyapunov stability theory; adaptive fuzzy control; adaptive fuzzy sliding mode control; closed-loop system; convergence property; uncertain nonlinear SISO system; Adaptive systems; Fuzzy logic; Nonlinear systems; Sliding mode control; Trajectory; Uncertainty; Lyapunov function; Sliding mode control; fuzzy adaptive control; nonlinear systems; signed distance;
fLanguage
English
Publisher
ieee
Conference_Titel
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2014 15th International Conference on
Type
conf
DOI
10.1109/STA.2014.7086717
Filename
7086717
Link To Document