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A fast algorithm to solve Kalman’s partial realisation problem for single input, multi-output systems

Part of the Lecture Notes in Mathematics book series (LNM,volume 1287)

Abstract

A brief review is given of the solution of the scalar partial realisation problem using Padé approximants. The use of simultaneous Padé approximants in the solution of the single input, multi-output partial realisation problem is then discussed. We show how analogues of Frobenius identities are derived for simultaneous Padé approximants of two series, and we give twelve such identities. We show how some of these identities are combined to construct analogues of Baker’s and Kronecker’s algorithms. These analogues are fast algorithms for simultaneous Padé approximation of two series, and so also for a solution of the single input, two output partial realisation problem.

Keywords

  • Single Input
  • Degree Reduction
  • Reliable Algorithm
  • Markov Parameter
  • Denominator Polynomial

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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© 1987 Springer-Verlag

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Graves-Morris, P.R., Wilkins, J.M. (1987). A fast algorithm to solve Kalman’s partial realisation problem for single input, multi-output systems. In: Saff, E.B. (eds) Approximation Theory, Tampa. Lecture Notes in Mathematics, vol 1287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0078896

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  • DOI: https://doi.org/10.1007/BFb0078896

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18500-0

  • Online ISBN: 978-3-540-47991-8

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