Title :
The improved learning rule of neuron and its application in the servo controller
Author :
Yibin, Song ; Peijin, Wang
Author_Institution :
Coll. of Comput., Yantai Univ., Shandong, China
Abstract :
A neuron is a basic unit of neural network. The learning process will certainly be effected by different learning rules. According to the learning ways of neuron, this paper presents a modified method, which is based on the guide factor, for the learning rule of neuron. The improved rule is applied to the design of a neural controller for a servo system. Simulation results show the presented method can improve the robust performance and tracking process of the system
Keywords :
control system synthesis; learning (artificial intelligence); neurocontrollers; robust control; servomechanisms; tracking; guide factor; improved learning rule; neural network; neuron; robust performance; servo controller; tracking process; Application software; Computer networks; Control systems; Educational institutions; Intelligent networks; Neural networks; Neurons; Robustness; Servomechanisms;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863379
