Robustness of Model Reference Adaptive Controllers: An Input-Output Approach

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26 Scopus citations

Abstract

A general input-output approach is employed to study the direct model reference adaptive control problem in the presence of parametric and unstructured uncertainty. A sufficient condition for the boundedness of the closed-loop signals is developed, relating an appropriately defined size of the unstructured uncertainty with the size of parametric uncertainty. This condition involves the intuitively appealing gains of various sensitivity operators and allows for the study of the effect of the design parameters on the boundedness properties of the closed-loop system. The results of this work indicate a direction towards a unified and systematic theory in adaptive control.

Original languageEnglish (US)
Pages (from-to)556-565
Number of pages10
JournalIEEE Transactions on Automatic Control
Volume37
Issue number5
DOIs
StatePublished - May 1992

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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