Pseudoerror-based self-organizing neuro-fuzzy system

Chunshien Li, Chun Yi Lee, Kuo Hsiang Cheng

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


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 languageEnglish
Pages (from-to)812-814
Number of pages3
JournalIEEE Transactions on Fuzzy Systems
Issue number6
StatePublished - Dec 2004


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


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