Stability and Multi-Models in Model Reference Adaptive Systems.

Abstract

Several problems related to model reference adaptive systems (MRAS) are investigated. The MRAS finds application both in control system design in an uncertain environment and in parameter identification. The development here is based on a parallel MRAS structure whose adaptation design guarantees that the MRAS is hyperstable. A method is found, based on controllability conditions of a particular MRAS subsystem state representation, to produce a reduced-order reference model without losing the inherent hyperstable property of the MRAS design. For MRAS applied to parameter identification, we consider two problems. Necessary and sufficient conditions guaranteeing asymptotic stability of the parameter-error are found. For a specific discrete-time hyperstable MRAS, we consider the difficulty in realizing the hyperstable design due to the nature of the identification problem. An alternate design is proposed and a strategy for investigating its stability properties is described. For a continuous-time MRAS control system with discontinuous adaptation, variable structure system theory is used to establish its stability.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1976
Accession Number
ADA034992

Entities

People

  • Dale Keith Barbour

Organizations

  • University of Illinois Urbana–Champaign

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  • Advanced Electronics
  • Air Platforms
  • C4I
  • Energy and Power Technologies

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  • Adaptive Control Systems
  • Adaptive Systems
  • Air Force
  • Algorithms
  • Automation
  • Control Systems
  • Control Systems Engineering
  • Difference Equations
  • Differential Equations
  • Eigenvalues
  • Electrical Engineering
  • Engineering
  • Environment
  • Illinois
  • New York
  • United States
  • United States Government

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