• DocumentCode
    2820681
  • Title

    Stability analysis of hybrid jump linear systems with Markov inputs

  • Author

    Tejada, Arturo ; González, Oscar R. ; Gray, W. Steven

  • Author_Institution
    Old Dominion Univ., Norfolk
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    6280
  • Lastpage
    6285
  • Abstract
    Hybrid jump linear systems (HJLS´s) were introduced to study the properties of supervisory control systems. In a recent publication, a mean square (MS) stability test was introduced for HJLS´s with Moore output maps and i.i.d. inputs. In this paper, a similar test is developed for HJLS´s of this type but with Markov inputs. The test requires one to first construct an auxiliary HJLS with equivalent stability properties. Then, a particular matrix, A, is constructed taking into consideration the auxiliary system´s structure and associated Markov kernel. Finally, the spectral radius of A is compared against 1 to determine the stability of the original HJLS.
  • Keywords
    Markov processes; linear systems; stability; Markov inputs; Markov kernel; equivalent stability properties; hybrid jump linear system; stability analysis; supervisory control system; Automata; Control systems; Kernel; Linear systems; Stability analysis; Stochastic systems; Supervisory control; Switched systems; Testing; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434389
  • Filename
    4434389