An auto-tuning algorithm for the IRBF network of brushless DC motor

Siu Lau Ho, M. R. Fei, Ka Wai Eric Cheng, H. C. Wong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


The integrated radial basis function (IRBF) network has been reported as an efficient algorithm to study the performance of brushless dc motors. However, such an algorithm cannot be implemented readily since it is difficult to auto-tune or even to find the undetermined coefficients in the integrated RBF network. In this paper, a novel auto-tuning algorithm that can effectively guarantee the automatic implementation of the integrated RBF network of a brushless dc motor is reported.
Original languageEnglish
Pages (from-to)1168-1171
Number of pages4
JournalIEEE Transactions on Magnetics
Issue number2 II
Publication statusPublished - 1 Mar 2004


  • Auto-tuning
  • Brushless dc motor
  • Finite element
  • Integrated radial basis function (IRBF) neural network

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Cite this