Communication
Adaptive Fuzzy-Neural Network based Decentralized Backstepping Controller for Attitude Control of Quadrotor Helicopter
Lemya Guettal✉, Hossam-Eddine Glida, Abdelghani Chelihi
Résumé
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...
Détails
| Langue originale | English |
|---|---|
| Revue | 2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) |
| Numéro d’article | 9151463 |
| Pages | 394-399 |
| DOI | 10.1109/ccssp49278.2020.9151463 |
| Statut de publication | Publié — 2020 |