• DocumentCode
    2823756
  • Title

    Box invariance for biologically-inspired dynamical systems

  • Author

    Abate, Alessandro ; Tiwari, Ashish ; Sastry, Shankar

  • Author_Institution
    Univ. of California, Berkeley, Berkeley
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    5162
  • Lastpage
    5167
  • Abstract
    In this paper, motivated in particular by models drawn from biology, we introduce the notion of box invariant dynamical systems. We argue that box invariance, that is, the existence of a box-shaped positively invariant region, is a characteristic of many biologically-inspired dynamical models. Box invariance is also useful for the verification of stability and safety properties of such systems. This paper presents effective characterization of this notion for some classes of systems, computational results on checking box invariance, the study of the dynamical properties it subsumes, and a comparison with related concepts in the literature. The concept is illustrated using models derived from different case studies in biology.
  • Keywords
    biology; set theory; biologically-inspired dynamical systems; box invariance safety properties; box invariant dynamical systems; dynamical properties; Biological control systems; Biological system modeling; Biology computing; Computational biology; Computer science; Laboratories; Nonlinear systems; Safety; Stability; Systems biology;
  • 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.2007.4434569
  • Filename
    4434569