Pseudoerror-based self-organizing neuro-fuzzy system

Chunshien Li; Chun Yi Lee; Kuo Hsiang Cheng

doi:10.1109/TFUZZ.2004.836086

Pseudoerror-based self-organizing neuro-fuzzy system

Chunshien Li^*
, Chun Yi Lee
, Kuo Hsiang Cheng

^*Corresponding author for this work

Department of Electrical Engineering

Chang Gung University

Research output: Contribution to journal › Journal Article › peer-review

30 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	812-814
Number of pages	3
Journal	IEEE Transactions on Fuzzy Systems
Volume	12
Issue number	6
DOIs	https://doi.org/10.1109/TFUZZ.2004.836086
State	Published - 12 2004

Keywords

Clustering
Learning
Neuro-fuzzy system
Parameter identification
Pseudoerror
Random optimization
Self-organization
Structure identification

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10.1109/TFUZZ.2004.836086

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title = "Pseudoerror-based self-organizing neuro-fuzzy system",

abstract = "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.",

keywords = "Clustering, Learning, Neuro-fuzzy system, Parameter identification, Pseudoerror, Random optimization, Self-organization, Structure identification",

author = "Chunshien Li and Lee, \{Chun Yi\} and Cheng, \{Kuo Hsiang\}",

year = "2004",

month = dec,

doi = "10.1109/TFUZZ.2004.836086",

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AU - Cheng, Kuo Hsiang

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AB - 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.

KW - Clustering

KW - Learning

KW - Neuro-fuzzy system

KW - Parameter identification

KW - Pseudoerror

KW - Random optimization

KW - Self-organization

KW - Structure identification

UR - https://www.scopus.com/pages/publications/10944245473

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M3 - 文章

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VL - 12

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EP - 814

JO - IEEE Transactions on Fuzzy Systems

JF - IEEE Transactions on Fuzzy Systems

IS - 6

ER -

Pseudoerror-based self-organizing neuro-fuzzy system

Abstract

Keywords

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