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AOUICHE, Abdelaziz, CHAFAA, Kheireddine, BOUTTOUT, Farid. (1396). (1703-3544) DISTURBANCE REJECTION IN NONLINEAR SYSTEMS USING NEURO-FUZZY MODEL. نشریه علمی دانشگاه سیستان و بلوچستان, (), -. doi: 10.22111/ijfs.2017.3428
Abdelaziz AOUICHE; Kheireddine CHAFAA; Farid BOUTTOUT. "(1703-3544) DISTURBANCE REJECTION IN NONLINEAR SYSTEMS USING NEURO-FUZZY MODEL". نشریه علمی دانشگاه سیستان و بلوچستان, , , 1396, -. doi: 10.22111/ijfs.2017.3428
AOUICHE, Abdelaziz, CHAFAA, Kheireddine, BOUTTOUT, Farid. (1396). '(1703-3544) DISTURBANCE REJECTION IN NONLINEAR SYSTEMS USING NEURO-FUZZY MODEL', نشریه علمی دانشگاه سیستان و بلوچستان, (), pp. -. doi: 10.22111/ijfs.2017.3428
AOUICHE, Abdelaziz, CHAFAA, Kheireddine, BOUTTOUT, Farid. (1703-3544) DISTURBANCE REJECTION IN NONLINEAR SYSTEMS USING NEURO-FUZZY MODEL. نشریه علمی دانشگاه سیستان و بلوچستان, 1396; (): -. doi: 10.22111/ijfs.2017.3428

(1703-3544) DISTURBANCE REJECTION IN NONLINEAR SYSTEMS USING NEURO-FUZZY MODEL

Iranian Journal of Fuzzy Systems
مقالات آماده انتشار، پذیرفته شده ، انتشار آنلاین از تاریخ 15 آبان 1396  XML
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22111/ijfs.2017.3428
نویسندگان
Abdelaziz AOUICHE* 1؛ Kheireddine CHAFAA2؛ Farid BOUTTOUT3
1Department of Electrical engineering, Faculty of Sciences and Technology, University Larbi Tebessi of Tebessa, 12000 Tebessa, Algeria
2Department of Electronics , Faculty of Technology, University Hadj Lakhdar of Batna, 5000 Batna , Algeria
3Department of Electronics , Faculty of Sciences and Technology, University of Bordj Bou Arreridj, 34000 BBA, Algeria
چکیده
The problem of disturbance rejection in the control of nonlinear systems with additive disturbance generated by some unforced nonlinear systems, was formulated and solved by {\itshape Mukhopadhyay} and {\itshape Narendra}, they applied the idea of increasing the order of the system, using neural networks the model of multilayer perceptron on several systems of varying complexity, so the objective of this work is using the same idea with two other recent methods fast and reliable ; fuzzy set systems and hybrid neuro-fuzzy systems respectively to compute the control law which minimizes the effect of the disturbance at the output of nonlinear systems. The application of the methods previously cited in form of results is presented to determine the identification model and to provide theoretical justification to existence a solution of disturbance rejection. Our better results with fuzzy systems and neuro-fuzzy systems are presented and discussed in detail in this paper with several systems of increasing complexity.
کلیدواژه‌ها
Disturbance rejection؛ fuzzy set systems؛ neuro-fuzzy systems؛ identification of dynamical systems؛ nonlinear systems
آمار
تعداد مشاهده مقاله: 164


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