• DocumentCode
    2247453
  • Title

    Robust invariant set theory applied to networked buffer-level control

  • Author

    Borrelli, Francesco ; Vecchio, Carmen Del ; Parisio, Alessandra

  • Author_Institution
    Dept. of Mech. Eng., Univ. of California, Berkeley, CA, USA
  • fYear
    2008
  • fDate
    9-11 Dec. 2008
  • Firstpage
    2111
  • Lastpage
    2116
  • Abstract
    A manufacturer producing several items keeps them into safety stocks (buffers) in order to supply an external stochastic demand without interruptions. We consider the classical problem of determining stock levels guaranteeing that a stochastic bounded demand is always satisfied. A simple n-th integrator model with additive disturbances is employed. Invariant set theory for linear and switched linear systems is used to compute robust positive invariant sets and controlled robust invariant sets for two commonly used scheduling policies. This paper provides the explicit expression of the invariant sets for any arbitrary n.
  • Keywords
    linear systems; robust control; set theory; controlled robust invariant sets; external stochastic demand; networked buffer-level control; robust invariant set theory; robust positive invariant sets; safety stocks; scheduling policy; stochastic bounded demand; stock levels; switched linear systems; Additives; Control systems; Job shop scheduling; Manufacturing; Optimal scheduling; Production; Robust control; Safety; Set theory; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
  • Conference_Location
    Cancun
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3123-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2008.4739079
  • Filename
    4739079