Skip to main content

Singular Value Decomposition of the First Markov Parameter

  • Chapter
  • First Online:
Finite Zeros in Discrete Time Control Systems

Part of the book series: Lecture Notes in Control and Information Science ((LNCIS,volume 338))

  • 648 Accesses

Abstract

As it has been observed in Chapter 4 the first nonzero Markov parameter of a linear discrete-time system (2.1) carries some amount of information concerning invariant and Smith zeros. The approach presented there has been based on the Moore-Penrose pseudoinverse of that parameter. It has been shown that in any nondegenerate system (2.1) with the first nonzero Markov parameter of full rank all system zeros are completely characterized as some eigenvalues of a real matrix of the order of the state matrix. Furthermore, it has been shown also that in such systems the invariant zeros may be found out as output decoupling zeros of an appropriate closed-loop (state feedback) system as well as that invariant and Smith zeros are one and the same thing.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this chapter

Cite this chapter

Tokarzewski, J. Singular Value Decomposition of the First Markov Parameter. In: Finite Zeros in Discrete Time Control Systems. Lecture Notes in Control and Information Science, vol 338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11587743_5

Download citation

  • DOI: https://doi.org/10.1007/11587743_5

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33464-4

  • Online ISBN: 978-3-540-33465-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics