Error Models for Stable Hybrid Adaptive Systems. Part II,

Abstract

The paper presents a unified approach to the design of stable adaptive algorithms for hybrid, discrete and continuous systems which have two time scales. Hybrid error models are first analyzed in detail using two distinct approaches and the results are extended to discrete systems in which the parameters are adjusted at rates slower than those at which the systems operate. The algorithms developed when applied to the adaptive control problem are shown to result in global stability. Simulation results are included and reveal the dependence of the convergence rates of the various algorithms on the two time-scales.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1982
Accession Number
ADA120652

Entities

People

  • Anuradha M. Annaswamy
  • Iraky H. Khalifa
  • Kumpati S. Narendra

Organizations

  • Yale University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Adaptive Control Systems
  • Adaptive Systems
  • Algorithms
  • Complex Adaptive Systems
  • Control Systems
  • Convergence
  • Differential Equations
  • Digital Computers
  • Electrical Engineering
  • Equations
  • Errors
  • Hybrid Systems
  • Integrals
  • Lyapunov Functions
  • Simulations
  • Systems Science
  • Transfer Functions

Readers

  • Computer Vision.
  • Control Systems Engineering.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers