A New Error Model for Discrete Systems and Its Application to Adaptive Identification and Control,

Abstract

A new error model for discrete adaptive systems is presented in this paper. By introducing a feedback term in the corresponding error model for the continuous case it is found possible to retain the same form for the adaptive laws. It is demonstrated that the output error tends to zero whether or not the input vector is bounded. The new error model has wide applications in both adaptive identification and adaptive control. Two applications are outlined towards the end of the paper to indicate how the error model is derived and the corresponding adaptive laws generated. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1978
Accession Number
ADA063930

Entities

People

  • Kumpati S. Narendra
  • Yuan-hao Lin

Organizations

  • Yale University

Tags

DTIC Thesaurus Topics

  • Adaptive Systems
  • Difference Equations
  • Differential Equations
  • Equations
  • Feedback
  • Identification
  • Information Science
  • Inspection
  • Lyapunov Functions
  • Models
  • Observers
  • Polynomials
  • Prototypes
  • Signal Generators
  • Transfer Functions

Fields of Study

  • Engineering
  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.