Adaptive output feedback control of a class of multi-input multi-output systems using neural networks

Naira Hovakimyan, Anthony J. Cause, Nakwan Kim

Research output: Contribution to journalArticlepeer-review

Abstract

For a class of uncertain multi-input multi-output non-linear systems an adaptive output feedback control methodology is developed using linearly parameterized neural networks. The neural network operates over a tapped delay line of memory units, comprised of system input/output signals. The adaptive laws for neural network parameters are written in terms of a linear observer of the nominal system's error dynamics. Ultimate boundedness of the error signals is shown through Lyapunov's direct method. Simulations illustrate the theoretical results.

Original languageEnglish (US)
Pages (from-to)1318-1329
Number of pages12
JournalInternational Journal of Control
Volume77
Issue number15
DOIs
StatePublished - Oct 15 2004
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications

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