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
收藏
页码：812 / 819
页数：8
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