• DocumentCode
    2322173
  • Title

    Fieldbus scheduling using Boltzmann machine

  • Author

    AIi, Usama M ; Al Jebory, Karim

  • Author_Institution
    Tokyo Electr. Power services CO., Ltd., Tokyo, Japan
  • fYear
    2010
  • fDate
    27-30 June 2010
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    A centralized access control in fieldbus systems is characterized by the presence of a processing unit acting as link active scheduler (LAS), whose task is to manage the bandwidth, distributing it among all the producing devices, and respecting their time constraints. The bandwidth is distributed on the basis of a scheduling table containing transmission instants for the information produced by different processes in the system such as to guarantee correct scheduling. This paper discusses the results of using Boltzmann machine neural networks (NNs) with reduced scheduling tables. The work is proposed to replace the existing systems in many remote contra stations connecting intelligent field devices.
  • Keywords
    Boltzmann machines; bandwidth allocation; field buses; scheduling; Boltzmann machine neural network; bandwidth management; centralized access control; fieldbus scheduling; fieldbus systems; intelligent field devices; link active scheduler; reduced scheduling tables; remote contra station; Neurons; Processor scheduling; Factory communication; Field Bus; Machine Learning and AI; Neural Networks; Real Time Decision Algorithms; Real Time Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Signals and Devices (SSD), 2010 7th International Multi-Conference on
  • Conference_Location
    Amman
  • Print_ISBN
    978-1-4244-7532-2
  • Type

    conf

  • DOI
    10.1109/SSD.2010.5585548
  • Filename
    5585548