Author/Authors :
Zarabadipour، Hassan نويسنده Electrical Engineering Department, Imam Khomeini International University, Qazvin, Iran , , Yaghoubi، Zahra نويسنده Electrical Engineering Department, Imam Khomeini International University, Qazvin, Iran , , Aliyari Shoorehdeli، Mahdi نويسنده Electrical Engineering Department, Kh.N. Toosi University of Technology, Tehran, Iran ,
Abstract :
Neural network based controller is used for
controlling a mobile robot system. Feedback error learning
(FEL) can be regarded as a hybrid control to guarantee
stability of control approach. This paper presents
simulation of a mobile robot system controlled by a FEL
neural network and PD controllers. This feedback
error-learning controller benefits from both classic and
adaptive controller properties. The simulation results
demonstrate that this method is more feasible and effective
for mobile robot system control.
