Distributed Control-as-a-Service with Wireless Swarm Systems
Rahul Mangharam

Citation
Rahul Mangharam. "Distributed Control-as-a-Service with Wireless Swarm Systems". Talk or presentation, 29, September, 2013; Presented at the First International Workshop on the Swarm at the Edge of the Cloud (SEC'13 @ ESWeek), Montreal.

Abstract
We present early ideas on truly distributed control with Wireless Swarm Systems. As opposed to traditional networked control schemes where the nodes simply route information to and from a dedicated controller (perhaps performing some encoding along the way), our approach treats the network itself as the controller. In other words, the computation of the control law is done in a fully distributed way inside the network. In this approach, at each time-step, each node updates its internal state to be a linear combination of the states of the nodes in its neighborhood. This causes the entire network to behave as a linear dynamical system, with sparsity constraints imposed by the network topology. This eliminates the need for routing between "sensor -> channel -> dedicated controller/estimator -> channel -> actuator'', allows for simple transmission scheduling, is operational on resource constrained low-power nodes and allows for composition of additional control loops and plants. In our recent efforts, we have demonstrated the potential of such controller swarm systems to be robust to a high degree of link failures and to maintain stability even in cases of node failures. We also address the problem of wireless control network synthesis with guaranteed optimal performance of the plant, with respect to standard cost functions. As the needs of the plant are revised and the network topology changes, we envision a cloud service to synthesize these control network configurations for robust, optimal and flexible control with future swarm systems.

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Citation formats  
  • HTML
    Rahul Mangharam. <a
    href="http://www.terraswarm.org/pubs/118.html"><i>Distributed
    Control-as-a-Service with Wireless Swarm
    Systems</i></a>, Talk or presentation,  29,
    September, 2013; Presented at the <a
    href="http://www.terraswarm.org/conferences/13/swarm/index.htm"
    >First International Workshop on the Swarm at the Edge of
    the Cloud (SEC'13 @ ESWeek)</a>, Montreal.
  • Plain text
    Rahul Mangharam. "Distributed Control-as-a-Service with
    Wireless Swarm Systems". Talk or presentation,  29,
    September, 2013; Presented at the <a
    href="http://www.terraswarm.org/conferences/13/swarm/index.htm"
    >First International Workshop on the Swarm at the Edge of
    the Cloud (SEC'13 @ ESWeek)</a>, Montreal.
  • BibTeX
    @presentation{Mangharam13_DistributedControlasaServiceWithWirelessSwarmSystems,
        author = {Rahul Mangharam},
        title = {Distributed Control-as-a-Service with Wireless
                  Swarm Systems},
        day = {29},
        month = {September},
        year = {2013},
        note = {Presented at the <a
                  href="http://www.terraswarm.org/conferences/13/swarm/index.htm"
                  >First International Workshop on the Swarm at the
                  Edge of the Cloud (SEC'13 @ ESWeek)</a>, Montreal.},
        abstract = {We present early ideas on truly distributed
                  control with Wireless Swarm Systems. As opposed to
                  traditional networked control schemes where the
                  nodes simply route information to and from a
                  dedicated controller (perhaps performing some
                  encoding along the way), our approach treats the
                  network itself as the controller. In other words,
                  the computation of the control law is done in a
                  fully distributed way inside the network. In this
                  approach, at each time-step, each node updates its
                  internal state to be a linear combination of the
                  states of the nodes in its neighborhood. This
                  causes the entire network to behave as a linear
                  dynamical system, with sparsity constraints
                  imposed by the network topology. This eliminates
                  the need for routing between "sensor -> channel ->
                  dedicated controller/estimator -> channel ->
                  actuator'', allows for simple transmission
                  scheduling, is operational on resource constrained
                  low-power nodes and allows for composition of
                  additional control loops and plants. In our recent
                  efforts, we have demonstrated the potential of
                  such controller swarm systems to be robust to a
                  high degree of link failures and to maintain
                  stability even in cases of node failures. We also
                  address the problem of wireless control network
                  synthesis with guaranteed optimal performance of
                  the plant, with respect to standard cost
                  functions. As the needs of the plant are revised
                  and the network topology changes, we envision a
                  cloud service to synthesize these control network
                  configurations for robust, optimal and flexible
                  control with future swarm systems.},
        URL = {http://terraswarm.org/pubs/118.html}
    }
    

Posted by Christopher Brooks on 29 Sep 2013.

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