A hybrid modeling method based on mechanism analysis,identification and RBF neural networks

被引：0
|
作者：
Yang, XH [1 ]
Dai, HP [1 ]
Sun, YX [1 ]
机构：
[1] Zhejiang Univ, Inst Modern Control Engn, Natl Lab Ind Control Technol, Hangzhou 310027, Peoples R China
来源：
2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS | 2003年
关键词：
hybrid modeling method; mechanism analysis; identification; RBF neural networks;
D O I：
暂无
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 proposed a hybrid modeling method based on mechanism analysis, identification and RBF neural networks. First, Get a industrial object's low-order model by the mechanism analysis and identification method. Second, adopt RBF neural networks modeling method to compensate unmodeled high-order model. The sum of the low-order model and high-order model is the hybrid model. This kind of hybrid model has more accuracy than a model which is gotten by mechanism analysis and identification method and has more generalization capability than a model which is gotten by neural networks modeling method.
引用
收藏
页码：1310 / 1315
页数：6
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