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Approximation of linear systems under the constraint of steady-state values of the step responses

  • Yujiro Inouye
  • Toshiyuki Kojima
Part of the Progress in Systems and Control Theory book series (PSCT, volume 3)

Abstract

This paper considers the construction of approximants of a linear system whose steady-state values of the step responses are identical with those of the original system. It proposes two methods, the constrained least-squares approximation method and the modified least-squares approximation method. The former has a fast recursive algorithm for obtaining approximants, but may produce unstable approximants even though the original system is stable. The latter always yields stable approximants, but requires much more multiplications than the former for obtaining approximants. A simulation example is shown to illustrate the results of the two proposed methods.

Keywords

Linear System Original System Step Response Positive Semidefinite Autocorrelation Sequence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Birkhäuser Boston 1990

Authors and Affiliations

  • Yujiro Inouye
  • Toshiyuki Kojima

There are no affiliations available

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