|
|
|
|
|
Shawki Abdel-hady Abouel-seoud
Pág. 40 - 51
Abstract: For today vehicles, ride comfort and dynamic control, are crucial criteria for customers and also for the selection of an appropriate vehicle. Tractors as vehicles are exposed to random vibrations caused by unevenness of road or soil profile, m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Habib Benbouhenni,Zinelaabidine Boudjema,Abdelkader Belaidi
Pág. 17 - 28
In this paper, we propose an advanced control scheme using neural second order sliding mode (NSOSMC) and adaptive neuro-fuzzy inference system space vector modulation (ANFIS-SVM) strategy for a doubly fed induction generator (DFIG) integrated into a wind...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seied Yasser Nikoo, Behrooz Rezaie, Zahra Rahmani, Seied Jalil Sadati
Pág. 185 - 204
In this paper, a neuro-fuzzy fast terminal sliding mode control method is proposed for controlling a class of nonlinear systems with bounded uncertainties and disturbances. In this method, a nonlinear terminal sliding surface is firstly designed. Then, t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shiu-Shin Lin, Jheng-Hua Song, Kai-Yang Zhu, Yi-Chuan Liu and Hsien-Cheng Chang
Typhoon intensity forecast is an important issue. The objective of this study is to construct a 5-day 12-hourly typhoon intensity forecast model based on the adaptive neuro-fuzzy inference systems (ANFIS) to improve the typhoon intensity forecast in the ...
ver más
|
|
|
|
|
|