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Optimal Transmission Strategies for Remote State Estimation

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Optimal Control of Energy Resources for State Estimation Over Wireless Channels

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSCONTROL))

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Abstract

Improving system performance and reliability under resource (e.g. energy/power, computation and communication) constraints is one of the important challenges in wireless-based networks. This concern is particularly crucial in industrial applications such as remote sensing and real-time control where a high level of reliability is usually required.

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Notes

  1. 1.

    We consider stable systems as the state of an unstable system becomes unbounded over time which makes it difficult to quantize its state estimates.

  2. 2.

    We use \(\varSigma _w\) and \(\varSigma _v\) rather than Q and R to denote the process and measurement noise covariances, as Q and R will be used for the noise covariances of the augmented state space model in Sect. 4.2.1.

  3. 3.

    The proof of concavity is based on the fact that a function f(x) is concave in x if and only if \(f(x_0+th)\) is concave in the scalar t for all \(x_0\) and h.

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Authors and Affiliations

  1. Faculty of Electrical Engineering and Information Technology (EIM-E), Paderborn University, Paderborn, Nordrhein-Westfalen, Germany

    Alex S. Leong & Daniel E. Quevedo

  2. Department of Engineering Science, Uppsala University, Uppsala, Uppsala Län, Sweden

    Subhrakanti Dey

Authors
  1. Alex S. Leong
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  2. Daniel E. Quevedo
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  3. Subhrakanti Dey
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Correspondence to Alex S. Leong .

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Leong, A.S., Quevedo, D.E., Dey, S. (2018). Optimal Transmission Strategies for Remote State Estimation. In: Optimal Control of Energy Resources for State Estimation Over Wireless Channels. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-65614-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-65614-4_4

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  • Online ISBN: 978-3-319-65614-4

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