Zeros of Multivariable Systems: Definitions and Algorithms.

Abstract

A number of definitions of zeros of linear time-invariant multivariable systems have appeared recently. This work surveys selected literature on these zeros. Two questions are addressed here. First, how are zeros defined and how are these definitions interrelated. Second, how can they be calculated. The definitions of zeros are considered for three system representations: (1) the transfer function matrix, (2) the state space representation in the frequency domain, and (3) the state space representation in the time domain. The definitions of zeros for transfer function matrices are shown to be (mostly) equivalent. However, several different sets of zeros are defined for state space representations. The interrelationships between all of these definitions is discussed in detail. It turns out that the calculation of zeros directly from the definitions is not always tractable. The properties of zeros, however, provide several algorithms for calculating zeros. Finally, a new algorithm for the calculation of invariant zeros is introduced. It is based on the geometrical properties of linear time invariant systems. This algorithm is applicable to the most general class of systems (A,B,C,D).

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1979
Accession Number
ADA077147

Entities

People

  • Douglas Kent Lindner

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Closed Loop Systems
  • Complex Numbers
  • Complex Variables
  • Computational Science
  • Computations
  • Computer Programs
  • Computers
  • Control Systems
  • Frequency Domain
  • High Gain
  • Linear Systems
  • Rational Functions
  • Space Systems
  • Transfer Functions
  • Vector Spaces

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Graph Algorithms and Convex Optimization.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers