Neural networks based nonlinear Hcontrol for linear switched reluctance motor

Huiyan Li, Yuliang Liu, Jiang Wang, Y. K. Wong, Wai Lok Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

This paper is concerned with H∞control problems for a class of uncertain nonlinear systems. In the procedure, neural networks (NNs) are used to model the nonlinear functions, H∞tracking controller is derived based on Lyapunov function and the notion of dissipativeness. The controller can not only guarantee the stability of the overall control system, but also attenuate the effect of both the external disturbance and NNs approximation error to a prescribed level. Furthermore, theoretical results are applied to a position tracking control of linear switched reluctance motor. Simulation studies are included to demonstrate the effectiveness of the method.
Original languageEnglish
Title of host publicationProceedings of 2009 7th Asian Control Conference, ASCC 2009
Pages796-801
Number of pages6
Publication statusPublished - 11 Dec 2009
Event2009 7th Asian Control Conference, ASCC 2009 - Hong Kong, Hong Kong
Duration: 27 Aug 200929 Aug 2009

Conference

Conference2009 7th Asian Control Conference, ASCC 2009
Country/TerritoryHong Kong
CityHong Kong
Period27/08/0929/08/09

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

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