The design of optimum neuron controllers

Author

Jie, Chen ; Ning, Wang

Author_Institution

Zhongxing Telecom Ltd., Shenzhen, China

Volume

1

fYear

2000

fDate

2000

Firstpage

413

Abstract

A method of obtaining optimum neuron controllers for minimization of the integral of time weight absolute error (ITAE) criteria and integral of the squared error (ISE) criteria is proposed in this paper. And the method is used to develop some tuning formulae for the first-order plants with delay time. The comparison simulation experiments between the optimum neuron controller and the PID controllers are made. The results show that the optimum neuron control has better performances and stronger robustness

Keywords

control system synthesis; delays; least squares approximations; minimisation; neurocontrollers; optimal control; robust control; ISE criterion minimization; ITAE criterion minimization; delay time; first-order plants; optimum neural control; optimum neuron controller design; robustness; squared error integral criterion minimization; time weight absolute error integral criterion minimization; tuning formulae; Control system synthesis; Delay effects; Error correction; Industrial control; Laboratories; Minimization methods; Neurons; Process control; Telecommunication control; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on

Conference_Location

Hefei

Print_ISBN

0-7803-5995-X

Type

conf

DOI

10.1109/WCICA.2000.859995

Filename

859995