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Articles by F. Farivar
Total Records ( 3 ) for F. Farivar
  F. Farivar , M. Aliyari Shoorehdeli , M.A. Nekoui and M. Teshnehlab
  This study proposes a Gaussian Radial Basis Adaptive Backstepping Control (GRBABC) system for a class of n-order nonlinear systems. In the neural backstepping controller, a Gaussian radial basis function is utilized to on-line estimate of the system dynamic function. The adaptation laws of the control system are derived in the sense of Lyapunov function, thus the system can be guaranteed to be asymptotically stable. The proposed GRBABC is applied to two nonlinear chaotic systems which have the different order to illustrate its effectiveness. Simulation results verify that the proposed GRBABC can achieve favorable tracking performance by incorporating of GRBFNN identification, adaptive backstepping control techniques.
  F. Farivar , M. Aliyari Shoorehdeli , M. Teshnehlab and M.A. Nekoui
  This study describes hybrid control methods to control a flexible manipulator with payload. The dynamic equation of the system has been derived by Lagrange`s method. The designed controllers consist of two parts, classical controllers, PID and Linear Quadratic Regulation (LQR) and hybrid controllers, Fuzzy Neural Network (FNN) controller with Feedback Error Learning (FEL) and Sliding mode control using Gaussian Radial Basis Function Neural Network (RBFNN). The fuzzy neural network and radial basis function neural network are trained during control process and they are not necessarily trained off-line.
  S. Zerehdaran , S. Hassani , A.M. Gharebash , A. Khanahmadi and F. Farivar
  To illustrate the consequences of including health related traits in a sustainable broiler breeding program, two scenarios were simulated using the SelAction program. In the first scenario (economic), selection was only for production traits and Gait Score (GS) and Heart Failure (HF) were ignored in the breeding goal. In the second scenario (sustainable), GS and HF as well as production traits were included in the breeding goal. Economic values of GS and HF were determined using desired-gain approach to obtain a zero response in GS and HF. The results indicate that, despite improved responses for production traits in the economic scenario, there was an unfavorable reduction in GS of about 0.13 points and an unfavorable increase in HF of about 0.025 points. In the sustainable scenario, the deterioration of GS and HF was stopped. In the economic scenario with zero economic values for GS and HF, the total monetary response was higher (0.104 _) than sustainable scenario (0.097 _). Due to negative correlations between health and production traits, increased emphasis on health traits in the sustainable scenario resulted in a reduction in the total monetary response. In conclusion to stop the increased incidence of diseases, health traits should be included in the breeding goal and assigned appropriate values.
 
 
 
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