On Modeling, Complexities, and Automatic Configuration of Wireless Industrial Control Networks

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    We propose a mathematical model for wireless industrial control systems and analyze the engineering challenge of co-scheduling networking and control in this context. We demonstrate the use of the model using a small case study and explain how our modelling approach allows for self-configuring and self-adapting systems. The main theoretical contribution of the paper is a mathematical formulation of the computational problem of synthesizing a co-design of scheduling and control for wireless industrial control systems and a mathematical proof that this problem is computationally hard. We also identify relevant special network topologies for which the problem can be efficiently solved.

    Original languageEnglish
    Title of host publicationProceedings - 2016 IEEE International Conference on Software Science, Technology and Engineering, SwSTE 2016
    PublisherInstitute of Electrical and Electronics Engineers
    Pages125-134
    Number of pages10
    ISBN (Electronic)9781509010189
    DOIs
    StatePublished - 18 Jul 2016
    Event2016 IEEE International Conference on Software Science, Technology and Engineering, SwSTE 2016 - Beer Sheva, Israel
    Duration: 23 Jun 201624 Jun 2016

    Publication series

    NameProceedings - 2016 IEEE International Conference on Software Science, Technology and Engineering, SwSTE 2016

    Conference

    Conference2016 IEEE International Conference on Software Science, Technology and Engineering, SwSTE 2016
    Country/TerritoryIsrael
    CityBeer Sheva
    Period23/06/1624/06/16

    Keywords

    • adaptation
    • complexity
    • control
    • wireless neteworks

    ASJC Scopus subject areas

    • Modeling and Simulation
    • Software

    Fingerprint

    Dive into the research topics of 'On Modeling, Complexities, and Automatic Configuration of Wireless Industrial Control Networks'. Together they form a unique fingerprint.

    Cite this