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
收藏
页码：191 / 197
页数：7
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