THE ADAPTATION OF PERCEPTRONS WITH APPLICATIONS TO INVERSE DYNAMICS IDENTIFICATION OF UNKNOWN DYNAMIC-SYSTEMS

被引：21

作者：

SIRARAMIREZ, HJ ^{[1
]}

ZAK, SH ^{[1
]}

机构：

[1] PURDUE UNIV,SCH ELECT ENGN,W LAFAYETTE,IN 47907

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS | 1991年 / 21卷 / 03期

关键词：

D O I：

10.1109/21.97456

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new class of adaptation algorithms is proposed for single and multilayer perceptrons with discontinuous nonlinearities. The learning parameters in the proposed algorithms are adjusted to force the error between the actual and desired outputs to satisfy a stable difference error equation. The behavior of the algorithms is illustrated on the application example of inverse system modeling.

引用

页码：634 / 643

页数：10

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