Ce gace$ ME()ERİ 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) Control and synchronizat•on of chaotic and hyperchaotic systems by fractional controller using the fuzzy model of takagi-sugeno B.Mecheri1*, A.Nadjem2 1 Advanced Control Laboratories (LABCAV), University 8 May 1945 - Guelma, 24000 ALGER•A Electrical Engineering Laboratory (LGEG), University 8 May 1945 - Guelma, 24000 ALGER•A 2 * Corresponding E-mail: [email protected] 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. 46