Wireless networked control systems (WNCSs) require communication technologies that can provide low latency and high control accuracy. This paper investigates multi-loop WNCSs, where the controller generates the control signal based on different observations from local and remote sensors. The authors first formulated an observation scheduling problem to optimize the sum control cost function of multiple plants over imperfect wireless links. The scheduling problem was then approximately transformed into a Markov decision process, and an optimal policy was derived. Through a simulation, our research shows that the policy that prioritizes transmissions with long-term cost improves performance compared with that prioritizes transmissions with short-term cost or high data freshness.


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    Titel :

    Scheduling to Minimize Control Cost in Multi-loop Wireless Networked Control with Imperfect Sensors


    Beteiligte:
    Ma, He (Autor:in) / Wang, Lixin (Autor:in) / Zhou, Shidong (Autor:in)


    Erscheinungsdatum :

    01.06.2022


    Format / Umfang :

    638099 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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