• DocumentCode
    329797
  • Title

    Internal observation systems and a theory of reaction-diffusion equation on a graph

  • Author

    Yuasa, Hideo ; Ito, Masami

  • Author_Institution
    Grad. Sch. of Eng., Nagoya Univ., Japan
  • Volume
    4
  • fYear
    1998
  • fDate
    11-14 Oct 1998
  • Firstpage
    3669
  • Abstract
    Some kinds of spatiotemporal pattern generator systems are expressed by evolution equations. Such evolution equations are composed of many dynamic units which behave from only its local information. This is one example to coordinate many subsystems which observe the system from inside and to generate a global order. This paper shows how to treat these evolution equations and how to apply it to network systems. First, a continuous media system which is expressed by a gradient system in function space is considered. One of the simplest potential functionals derives a reaction diffusion equation which decreases the value of potential functional monotonously. The similar result is found in graph space. That is, a reaction diffusion equation on a graph decreases the value of a potential functional monotonously. This means that a network of dynamic units which observe only their connecting units´ states can generate a global order in the same way of continuous media. This theory can treat some internal dynamic network system which should coordinate without some kinds of central controllers
  • Keywords
    graph theory; observers; reaction-diffusion systems; continuous media; continuous media system; evolution equations; gradient system; graph; internal dynamic network system; internal observation systems; potential functional; reaction diffusion equation; reaction-diffusion equation; spatiotemporal pattern generator systems; Differential equations; Power measurement; Spatiotemporal phenomena; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4778-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1998.726637
  • Filename
    726637