Contrôle Robuste des Système non Linéaire par des Approches du Type Neuro-Flou

Daikh, Fatima Zohra; Hamadouche, Mohamed El Amine

مجلة الميدان للدراسات الرياضية و الإجتماعية و الإنسانية
Volume 5, Numéro 1, Pages 40-46
2023-02-11

Contrôle Robuste Des Système Non Linéaire Par Des Approches Du Type Neuro-flou

Auteurs : Daikh Fatima Zohra . Hamadouche Mohamed El Amine .

Résumé

In this article, we have dealt with the exploitation of the properties of Artificial Intelligence in the field of automation. Our work is devoted to the use of neuro-fuzzy networks and precisely STFIS (Self Tuning Fuzzy Inference System) and sliding mode control (SMC). We proposed a hybridization between the STFIS controller and the sliding mode to improve the performance of nonlinear system control. We will use an STFIS network to approximate the dynamics assumed to be totally unknown. After having introduced the principle of the proposed approaches, we will present their implementations for inverted pendulum control. The work is validated by simulations under the MATLAB environment