MURAL - Maynooth University Research Archive Library

    Feedback Control Over Lossy SNR-Limited Channels: Linear Encoder–Decoder–Controller Design

    Dey, Subhrakanti and Chiuso, Alessandro and Schenato, Luca (2017) Feedback Control Over Lossy SNR-Limited Channels: Linear Encoder–Decoder–Controller Design. IEEE Transactions on Automatic Control, 62 (6). pp. 3054-3061. ISSN 0018-9286

    Download (452kB) | Preview

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    In this paper, we consider the problem of encoding and decoding codesign for linear feedback control of a scalar, possibly unstable, stochastic linear system when the sensed signal is to be transmitted over a finite capacity communication channel. In particular, we consider a limited capacity channel which transmits quantized data and is subject to packet losses. We first characterize the optimal strategy when perfect channel feedback is available, i.e., the transmitter has perfect knowledge of the packet loss history. This optimal scheme, innovation forwarding hereafter, is reminiscent of differential pulse-code modulation schemes adapted to deal with state space models, and is strictly better than a scheme which simply transmits the measured data, called measurement forwarding (MF) hereafter. Comparison in terms of control cost as well as of critical regimes, i.e., regimes where the cost is not finite, are provided. We also consider and compare two popular suboptimal schemes from the existing literature, based on (1) state estimate forwarding and (2) measurement forwarding, which ignore quantization effects in the associated estimator and controller design. In particular, it is shown that surprisingly the suboptimal MF strategy is always better then the suboptimal state forwarding strategy for small signal-to-quantization-noise-ratios.

    Item Type: Article
    Keywords: Control under communication constraints; linear quadratic Gaussian (LQG) control; packet losses; quantization;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 11465
    Identification Number:
    Depositing User: Subhrakanti Dey
    Date Deposited: 24 Oct 2019 14:18
    Journal or Publication Title: IEEE Transactions on Automatic Control
    Publisher: IEEE
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only(login required)

    View Item Item control page


    Downloads per month over past year

    Origin of downloads