Title :
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
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;
Conference_Titel :
Electrical and Computer Engineering, 2000 Canadian Conference on
Conference_Location :
Halifax, NS
Print_ISBN :
0-7803-5957-7
DOI :
10.1109/CCECE.2000.849554
