NONLINEAR-SYSTEM IDENTIFICATION AND CONTROL-BASED ON NEURAL AND SELF-TUNING CONTROL

被引:5
作者
ABDULAZIZ, A [1 ]
FARSI, M [1 ]
机构
[1] UNIV NEWCASTLE UPON TYNE, DEPT ELECT & ELECTR ENGN, NEWCASTLE UPON TYNE NE1 7RU, TYNE & WEAR, ENGLAND
关键词
VOLTERRA MODEL; WIENER; HAMMERSTEIN; FEEDFORWARD NEURAL NETWORKS; SELF-TUNING CONTROL;
D O I
10.1002/acs.4480070407
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper deals with identification and control of non-linear systems that contain linear parameters and a non-linear quasi-input function of the real input signal. Least squares have been used to estimate the linear parametric part, while a neural feedforward net is employed to estimate the remaining non-linearity. Performance considerations are illustrated by hybrid algorithm simulations.
引用
收藏
页码:297 / 307
页数:11
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