A SISO discrete control system containing neural estimator and neural controller

Author

Hassanzadeh, I. ; Khanmohammadi, S. ; Sharifian, M.B.B. ; Jiang, J.

Author_Institution

Fac. of Eng., Tabriz Univ., Iran

Volume

2

fYear

2000

fDate

2000

Firstpage

697

Abstract

In this paper a modified discrete adaptive control system with neural estimator and neural controller is presented. The structure of the adaptive controller is based on Etxebarria´s model (1995), where the stability of the control procedure is proved. The Widrow-Hoff procedure of learning and the DARMA model is used for identifying and adjustment of neural network parameters, applied to adaptive control of discrete systems. In this paper Etxebarria´s procedure is modified. The learning rate of the neural network is improved and accelerated using the PD, PI and PID input controllers for input neurons. The effect of adding a momentum term (the past record of the learning) to the learning rule of the neural network is studied. The results are compared and discussed

Keywords

adaptive control; discrete systems; learning (artificial intelligence); neurocontrollers; parameter estimation; three-term control; two-term control; DARMA model; PD input controller; PI input controller; PID input controller; SISO discrete control system; Widrow-Hoff procedure; adaptive control; discrete adaptive control system; discrete systems; learning; neural controller; neural estimator; neural network learning rate; neural network parameters; stability; Adaptive control; Artificial neural networks; Control systems; Neural networks; Neurons; Polynomials; Programmable control; Steady-state; Three-term control; Two-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2000 Canadian Conference on

Conference_Location

Halifax, NS

ISSN

0840-7789

Print_ISBN

0-7803-5957-7

Type

conf

DOI

10.1109/CCECE.2000.849554

Filename

849554