Adaptive control of a large-scale system

H. Yousef*, M. Simaan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The authors present two direct model reference adaptive control (MRAC) algorithms for a class of large-scale interconnected systems that have multi-input, multi-output subsystems and are subjected to a known disturbance. The parameters of each subsystem are assumed to be unknown constants or unknown time-varying in a known bounded range. These algorithms do not require identification of system parameters or satisfaction of the perfect model-following conditions. The output error and the controller parameters are guaranteed to be bounded using a Lyapunov stability theorem. The first algorithm ensures asymptotic stability to a bounded residual set provided that the decoupled subsystem transfer matrix is strict positive real (SPR). The second algorithm relaxes the requirement of the SPR condition at the expense of increasing the size of the residual set. Illustrative examples are presented.

Original languageEnglish
Title of host publicationThird Int Symp Intell Control
EditorsH.E. Stephanou, A. Meystel, J.Y.S. Luh
PublisherPubl by IEEE
Number of pages6
ISBN (Print)0818620129
Publication statusPublished - 1988
Externally publishedYes
EventThird International Symposium on Intelligent Control 1988 - Arlington, VA, USA
Duration: Aug 24 1988Aug 26 1988

Publication series

NameThird Int Symp Intell Control


OtherThird International Symposium on Intelligent Control 1988
CityArlington, VA, USA

ASJC Scopus subject areas

  • General Engineering


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