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6th Internat•onal conference on materials science and nanotechnology for next generation (MSNG2019)
(POSTER PRSNTSNS)
8th Internat!onal conference on materials science and nanotechnology for next generation
(MSNG2021)
ABSTRACT
BOOK
8th International
CONFERENCE ON MATERIALS SCIENCE AND
NANOTECHNOLOGY FOR NEXT GENERATION (MSNG2021)
Conference
July 14-16, Elazig, TURKEY
(Online)
8th Internat•onal conference on materials science and nanotechnology for next generation (MSNG2021) (ORAL PRESENTATIONS)
46
Control and synchronizat•on of chaotic and hyperchaotic systems by fractional
controller using the fuzzy model of takagi-sugeno
B.Mecheri1*, A.Nadjem2
1Advanced Control Laboratories (LABCAV), University 8 May 1945 - Guelma, 24000 ALGER•A
2Electrical Engineering Laboratory (LGEG), University 8 May 1945 - Guelma, 24000 ALGER•A
*Corresponding E-mail: mecheribelgacem@hotmail.com
A fuzzy model-based design for the stabilization and synchronization of chaotic systems has been presented
in present study. Using the fuzzy model of Takagi - Sugeno (T - S), the chaotic systems are exactly
represented. After that, for synchronization control, the fuzzy fractional controllers are designed by using
the notions of fractional order calculus which allowed designing a non-integer order controller. The
determination of the parameters of the fractional PID controller is carried out by Genetic Algorithms (GA).
The efficiency and robustness of the proposed method are shown by numerical simulations using Matlab
software.
Fig.1. Chaotic system Lorenz synchronization.
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