DocumentCode :
3626448
Title :
Genetic Algorithms Applied in Fuzzy-Sliding Mode Control of Nonlinear Systems
Author :
Dragan Antic;Marko Milojkovic;Zoran Jovanovic
Author_Institution :
Faculty of Electronic Engineering, University of Nis, Aleksandra Medvedeva 14, 18000 Nis, Serbia, E-mail: dantic@elfak.ni.ac.yu
fYear :
2007
Firstpage :
490
Lastpage :
493
Abstract :
This paper considers a new method for nonlinear systems control based on genetic algorithms applied on fuzzy- sliding mode. This new control method achieves good results in terms of robustness, dynamics of control, and controlled signals. It also solves the chattering problem. Illustration and verification of this new method is done by simulation of inverted pendulum system.
Keywords :
"Genetic algorithms","Nonlinear control systems","Control systems","Nonlinear systems","Sliding mode control","Robust control","Fuzzy logic","State-space methods","Optimal control","Variable structure systems"
Publisher :
ieee
Conference_Titel :
Telecommunications in Modern Satellite, Cable and Broadcasting Services, 2007. TELSIKS 2007. 8th International Conference on
Print_ISBN :
978-1-4244-1467-3
Type :
conf
DOI :
10.1109/TELSKS.2007.4376050
Filename :
4376050
Link To Document :
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