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Paper

Adaptive Fuzzy-Neural Network based Decentralized Backstepping Controller for Attitude Control of Quadrotor Helicopter

Lemya Guettal✉, Hossam-Eddine Glida, Abdelghani Chelihi

Abstract

This work consists in designing a backstepping controller based on an adaptive fuzzy neural network (FNN). The main aim is the attitude control of a quadrotor system under uncertainties and disturbances. The FNN with adaptive parameters is exploited to approximate the nonlinear functions and improve the robustness against parametric uncertainties and external disturbances. FNN is included in class...

Details

Original languageEnglish
Journal2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)
Article number9151463
Pages394-399
DOI10.1109/ccssp49278.2020.9151463
Publication statusPublished — 2020