Investigation of Inverse Vandermonde Matrix Calculation for Linear System Applications.

Abstract

Efficient inversion of a 2n x 2n Vandermonde matrix is a key requirement of a new algorithm developed for parameter identification in linear time-invariant systems. It has features very desirable for application to large systems with many unknown parameters, such as adaptive flight control systems. A generalized algorithm for inverting the Vandermonde matrix was proposed. It was chosen for study because its structure parallels that of the first algorithm. The algorithm was coded into a computer subroutine called 'VANINV, and 43 eigensystems were used to test its computational accuracy and efficiency. Four potential problem areas tested were: large system orders, eigenvalues near each other, eigenvalues near zero, and eigenvalues with large magnitude differences. For a comparison, the Vandermonde matrix for each system was also inverted using routines from the International Mathematical and Statistical Library (IMSL). Test results indicated that VANINV is not quite as fast or as accurate as the IMSL routines. However, the tests were limited to systems with real distinct eigenvalues because the IMSL routines cannot handle other types. VANINV in its present form can handle systems having any combination of complex and/or repeated eigenvalues. Therefore, recommendations for further research and several possible means of improving VANINV are outlined.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1979
Accession Number
ADA069241

Entities

People

  • Donald Paul Seyler

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Algorithms
  • Complex Variables
  • Computations
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Differential Equations
  • Equations
  • Flight Control Systems
  • Linear Differential Equations
  • Parallel Computing
  • Parallel Processing
  • Parallel Processors
  • Two Dimensional

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