Pseudoerror-based self-organizing neuro-fuzzy system

被引：26

作者：

Li, CS ^{[1
]}

Lee, CY ^{[1
]}

Cheng, KH ^{[1
]}

机构：

[1] Chang Gung Univ, Dept Elect Engn, Intelligent Syst & Appl Lab, Tao Yuan 333, Taiwan

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2004年 / 12卷 / 06期

关键词：

clustering; learning; neuro-fuzzy system; parameter identification; pseudoerror; random optimization; self-organization; structure identification;

D O I：

10.1109/TFUZZ.2004.836086

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The novel concept of pseudoerrors for a self-organizing neuro-fuzzy system (SO-NFS) is proposed for tracking control problem. To demonstrate the proposed approach, an example of motion control of an auto-warehousing crane system is illustrated, which can move back and forth in x, y, and z directions to access and store cargoes. The proposed SO-NFS shows excellent performance in control of the crane system for different loading conditions and varying distances in all directions.

引用

页码：812 / 819

页数：8

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