• DocumentCode
    234541
  • Title

    The normalization and solvability of singular multivalued networks

  • Author

    Si Qi ; Feng Jun-e ; Yao Juan ; Meng Min

  • Author_Institution
    Sch. of Math., Shandong Univ., Jinan, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    2799
  • Lastpage
    2804
  • Abstract
    This paper introduces singular multivalued networks. Using semi-tensor product method, two kinds of algebraic expressions of singular multivalued networks are obtained. The normalization problem of singular multivalued networks is discussed, and one necessary and sufficient condition is supplied. Furthermore, the solution of singular multivalued networks is investigated. And some examples are presented to illustrate effectiveness of the results.
  • Keywords
    computability; differential algebraic equations; matrix algebra; tensors; algebraic expressions; necessary condition; normalization; normalization problem; semitensor product method; singular multivalued networks; solvability; sufficient condition; Automata; Discrete-time systems; Educational institutions; Equations; Genetics; Matrices; Matrix converters; Admissible Initial Value; Normalization Problem; Semi-tensor Product; Singular Multivalued Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6897082
  • Filename
    6897082