• DocumentCode
    846092
  • Title

    Input-output decomposition of dynamic systems is NP-complete

  • Author

    Tarjan, R.

  • Author_Institution
    AT&T Bell Laboratories, Murray Hill, NJ, USA
  • Volume
    29
  • Issue
    9
  • fYear
    1984
  • fDate
    9/1/1984 12:00:00 AM
  • Firstpage
    863
  • Lastpage
    864
  • Abstract
    Pichai, Sezar, and Siljak have studied a decomposition technique for acyclic graphs, called input-output decomposition, that simplifies the analysis of dynamic systems. We show that the problem of determining whether a given graph is decomposable is NP-complete. Since this makes the existence of a polynomial-time decomposition algorithm unlikely, the possible benefits of having an input-output decomposition may be outweighed by the difficulty of finding one.
  • Keywords
    Graph theory; Adaptive control; Decoding; Digital control; Equations; Matrix decomposition; Partitioning algorithms; Polynomials; Programmable control; Symmetric matrices; Terminology;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1984.1103657
  • Filename
    1103657