Dynamic State Estimation in Distributed Aircraft Electric Control Systems via Adaptive Submodularity
Quentin Millet Huan Xu, Necmiye Ozay, Richard Murray

Citation
Quentin Millet Huan Xu, Necmiye Ozay, Richard Murray. "Dynamic State Estimation in Distributed Aircraft Electric Control Systems via Adaptive Submodularity". submitted to 2013 Conference on Decison and Control (CDC), 2013.

Abstract
We consider the problem of estimating the discrete state of an aircraft electric system under a distributed control architecture through active sensing. The main idea is to use a set of controllable switches to reconfigure the system in order to gather more information about the unknown state. By adaptively making a sequence of reconfiguration decisions with uncertain outcome and by correlating the measurements and prior information to make the next decision, we aim to reduce the uncertainty. A greedy strategy is developed that maximizes the one-step expected uncertainty reduction. By exploiting recent results on adaptive submodularity, we give theoretical guarantees on the worst-case performance of the greedy strategy. We apply the proposed method in a fault de- tection scenario where the discrete state captures possible faults in various circuit components. In addition, simple abstraction rules are proposed to alleviate state space explosion and to scale up the strategy. Finally, the efficiency of the proposed method is demonstrated empirically on different circuits.

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• HTML

  Quentin Millet Huan Xu, Necmiye Ozay, Richard Murray. <a
  href="http://www.icyphy.org/pubs/14.html"
  >Dynamic State Estimation in Distributed Aircraft
  Electric Control Systems via Adaptive
  Submodularity</a>, submitted to 2013 Conference on
  Decison and Control (CDC), 2013.

• Plain text

  Quentin Millet Huan Xu, Necmiye Ozay, Richard Murray.
  "Dynamic State Estimation in Distributed Aircraft
  Electric Control Systems via Adaptive Submodularity".
  submitted to 2013 Conference on Decison and Control (CDC),
  2013.

• BibTeX

  @inproceedings{XuOzayMurray13_DynamicStateEstimationInDistributedAircraftElectricControl,
      author = {Quentin Millet Huan Xu and Necmiye Ozay and
                Richard Murray},
      title = {Dynamic State Estimation in Distributed Aircraft
                Electric Control Systems via Adaptive Submodularity},
      booktitle = {submitted to 2013 Conference on Decison and
                Control (CDC)},
      year = {2013},
      abstract = {We consider the problem of estimating the discrete
                state of an aircraft electric system under a
                distributed control architecture through active
                sensing. The main idea is to use a set of
                controllable switches to reconfigure the system in
                order to gather more information about the unknown
                state. By adaptively making a sequence of
                reconfiguration decisions with uncertain outcome
                and by correlating the measurements and prior
                information to make the next decision, we aim to
                reduce the uncertainty. A greedy strategy is
                developed that maximizes the one-step expected
                uncertainty reduction. By exploiting recent
                results on adaptive submodularity, we give
                theoretical guarantees on the worst-case
                performance of the greedy strategy. We apply the
                proposed method in a fault de- tection scenario
                where the discrete state captures possible faults
                in various circuit components. In addition, simple
                abstraction rules are proposed to alleviate state
                space explosion and to scale up the strategy.
                Finally, the efficiency of the proposed method is
                demonstrated empirically on different circuits. },
      URL = {http://icyphy.org/pubs/14.html}
  }
  

Posted by Mary Stewart on 2 Apr 2013.
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