A concept of knowledge-based identification of nonlinear systems

被引：1

作者：

Pashchenko, FF ^{[1
]}

Chernyshov, KR ^{[1
]}

机构：

[1] Inst Control Sci, Moscow 117806, Russia

来源：

COMPUTERS IN INDUSTRY | 1999年 / 39卷 / 03期

关键词：

nonlinear systems; intelligent machines; nonparametric identification; dispersional functions; knowledge-based approach;

D O I：

10.1016/S0166-3615(98)00135-3

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A general approach combining both analytical and knowledge-based techniques to identify a nonlinear system model is proposed. with knowledge being considered within Saridis' theory of intelligent machines; and an extension of the dispersional function approach involving knowledge in the above sense is derived. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：191 / 197

页数：7

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