Characterization of Discrete-Time Linear Periodically Time-Varying Systems

Abstract

Techniques for empirically characterizing linear time-invariant systems are well established in the technical literature. Classic techniques rely on both the linearity of the underlying system and on the time invariance of the system parameters. Methods for analytically characterizing linear time- varying systems are also well-established in the literature. Typically, these methods rely on the time-varying impulse response or on the system response function. The focus of these methods is on the analytical evaluation of systems with known parameters, not on the empirical characterization of systems. The following paper presents techniques for empirically characterizing discrete-time linear time-varying systems whose system parameters may be only partially specified.

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Document Details

Document Type
Technical Report
Publication Date
Jul 26, 1991
Accession Number
ADA245822

Entities

People

  • Kevin W. Baugh

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Adaptive Control Systems
  • Differential Equations
  • Discrete Fourier Transforms
  • Electrical Engineering
  • Equations
  • Frequency
  • Frequency Domain
  • Frequency Response
  • Linear Systems
  • Literature
  • New York
  • Periodic Functions
  • Power Spectra
  • Random Variables
  • Signal Processing
  • Stochastic Processes
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Control Systems Engineering.