Fuzzy adaptive DBF neural identification and application for MIMO nonlinear system

被引：0
|
作者：
Cao, WM [1 ]
Feng, H [1 ]
Fei, L [1 ]
Wang, SJ [1 ]
机构：
[1] Zhejiang Univ Technol, Informat Coll, Inst Intelligent Informat Syst, Hangzhou 310032, Peoples R China
来源：
2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS | 2003年
关键词：
adaptive control; fuzzy logic; direction basis function; neural networks; nonlinear; system1;
D O I：
10.1109/ICMLC.2003.1259903
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a robust Adaptive Fuzzy Direction Basis Function Neural Controller (AFDBFNC) suitable for identification based on direction basis function. The proposed controller has the following salient features: (1) Selforganizing fuzzy neural structure; (2) Online learning ability of nonlinear systems; (3) Fast learning speed;, (4) Adaptive control. Simulation example is included to confirm the validity and performance of the proposed control algorithm.
引用
收藏
页码：2355 / 2359
页数：5
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