Inverse model neural network-based control of dynamic systems

Research output: Contribution to journalConference articlepeer-review

Abstract

A variable structure control-based learning algorithm is used here to adapt the weights of a single layer neural network that provides on-line estimations of the inverse transfer operator of an unknown dynamic system. Its performance has been tested by computer simulations using a nonlinear system.

Original languageEnglish (US)
Pages (from-to)955-960
Number of pages6
JournalIEE Conference Publication
Volume2
Issue number389
DOIs
StatePublished - 1994
Externally publishedYes
EventProceedings of the International Conference on CONTROL '94. Part 2 (of 2) - Coventry, UK
Duration: Mar 21 1994Mar 24 1994

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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