Title :
Model following using multilayer perceptrons
Author :
Hush, D. ; Abdallah, C. ; Hore, B.
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
Abstract :
A model following controller is proposed for discrete nonlinear systems using a recursive multilayer perceptron (MLP). The MLP network contains dynamics and is able to minimize the error between the plant and a desired model in many cases. An example is given
Keywords :
discrete systems; model reference adaptive control systems; neural nets; nonlinear control systems; discrete nonlinear systems; model following controller; recursive multilayer perceptron; Backpropagation algorithms; Computer errors; Control systems; Delay; Multilayer perceptrons; Neural networks; Neurofeedback; Nonlinear control systems; Nonlinear systems; Output feedback;
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/CDC.1990.203916
