scholarly journals Designing the Optimal Model for Student Selection in Farhangian University of Iran

2021 ◽  
Vol 14 (1) ◽  
pp. 99-128
Author(s):  
Azimeh Motekalem ◽  
Toorun Soleimany ◽  
Yosef Namvar
Keyword(s):  
Student Selection ◽  
Optimal Model

scholarly journals An Optimal Model to Meet the Hourly Peak Demands of a Specific Region With Solar, Wind, and Grid Supplies

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 13179-13194
Author(s):  
B. Priyadharshini ◽  
Velappa Ganapathy ◽  
Priyanka Sudhakara
Keyword(s):  
Solar Wind ◽  
Specific Region ◽  
Optimal Model

Optimal model-free fuzzy logic control for autonomous unmanned aerial vehicle

2021 ◽  
pp. 095441002110253
Author(s):  
Hossam E Glida ◽  
Latifa Abdou ◽  
Abdelghani Chelihi ◽  
Chouki Sentouh ◽  
Gabriele Perozzi
Keyword(s):  
Fuzzy Logic ◽  
Unmanned Aerial Vehicle ◽  
Fuzzy Logic Control ◽  
Estimation Error ◽  
Design Parameters ◽  
Multiple Model ◽  
Optimal Model ◽  
Model Free ◽  
Logic Control ◽  
Aerial Vehicle

This article deals with the issue of designing a flight tracking controller for an unmanned aerial vehicle type of quadrotor based on an optimal model-free fuzzy logic control approach. The main design objective is to perform an automatic flight trajectory tracking under multiple model uncertainties related to the knowledge of the nonlinear dynamics of the system. The optimal control is also addressed taking into consideration unknown external disturbances. To achieve this goal, we propose a new optimal model-free fuzzy logic–based decentralized control strategy where the influence of the interconnection term between the subsystems is minimized. A model-free controller is firstly designed to achieve the convergence of the tracking error. For this purpose, an adaptive estimator is proposed to ensure the approximation of the nonlinear dynamic functions of the quadrotor. The fuzzy logic compensator is then introduced to deal with the estimation error. Moreover, the optimization problem to select the optimal design parameters of the proposed controller is solved using the bat algorithm. Finally, a numerical validation based on the Parrot drone platform is conducted to demonstrate the effectiveness of the proposed control method with various flying scenarios.

scholarly journals Optimal model identification of the PEMFCs using optimized Rotor Hopfield Neural Network

2021 ◽  
Vol 7 ◽  
pp. 3655-3663
Author(s):  
Ming Yang ◽  
Lu Zhang ◽  
Tong-Yi Li ◽  
Nasser Yousefi ◽  
Yuan-Kang Li
Keyword(s):  
Neural Network ◽  
Model Identification ◽  
Hopfield Neural Network ◽  
Optimal Model

STUDENT SELECTION

1979 ◽  
Vol 2 (SP1) ◽  
pp. 3-5 ◽  
Author(s):  
R. D. Linke ◽  
G. J. Fraenkel ◽  
J. P. Chalmers
Keyword(s):  
Student Selection
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