Indirect adaptive control for synchronous generator: Comparison of MLP/RBF neural networks approach with Lyapunov stability analysis

Jung Wook Park, Ronald G. Harley, Ganesh K. Venayagamoorthy

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

This paper compares two indirect adaptive neurocontrollers, namely a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) to control a synchronous generator. The different damping and transient performances of two neurocontrollers are compared with those of conventional linear controllers, and analyzed based on the Lyapunov direct method.

Original languageEnglish
Pages (from-to)460-464
Number of pages5
JournalIEEE Transactions on Neural Networks
Volume15
Issue number2
DOIs
Publication statusPublished - 2004 Mar 1

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Neural Networks (Computer)
Synchronous generators
Multilayer neural networks
Damping
Neural networks
Controllers

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this

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Indirect adaptive control for synchronous generator : Comparison of MLP/RBF neural networks approach with Lyapunov stability analysis. / Park, Jung Wook; Harley, Ronald G.; Venayagamoorthy, Ganesh K.

In: IEEE Transactions on Neural Networks, Vol. 15, No. 2, 01.03.2004, p. 460-464.

Research output: Contribution to journalArticle

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