• DocumentCode
    1051220
  • Title

    The Necessity and Sufficiency of Anytime Capacity for Stabilization of a Linear System Over a Noisy Communication Link—Part I: Scalar Systems

  • Author

    Sahai, Anant ; Mitter, Sanjoy

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA
  • Volume
    52
  • Issue
    8
  • fYear
    2006
  • Firstpage
    3369
  • Lastpage
    3395
  • Abstract
    In this paper, we review how Shannon\´s classical notion of capacity is not enough to characterize a noisy communication channel if the channel is intended to be used as part of a feedback loop to stabilize an unstable scalar linear system. While classical capacity is not enough, another sense of capacity (parametrized by reliability) called "anytime capacity" is necessary for the stabilization of an unstable process. The required rate is given by the log of the unstable system gain and the required reliability comes from the sense of stability desired. A consequence of this necessity result is a sequential generalization of the Schalkwijk-Kailath scheme for communication over the additive white Gaussian noise (AWGN) channel with feedback. In cases of sufficiently rich information patterns between the encoder and decoder, adequate anytime capacity is also shown to be sufficient for there to exist a stabilizing controller. These sufficiency results are then generalized to cases with noisy observations, delayed control actions, and without any explicit feedback between the observer and the controller. Both necessary and sufficient conditions are extended to continuous time systems as well. We close with comments discussing a hierarchy of difficulty for communication problems and how these results establish where stabilization problems sit in that hierarchy
  • Keywords
    AWGN channels; channel capacity; channel coding; decoding; linear systems; sequential codes; telecommunication links; telecommunication network reliability; AWGN; Schalkwijk-Kailath scheme; Shannon channel capacity theorem; additive white Gaussian noise; decoder; encoder; feedback loop; linear system; noisy communication link; reliability; scalar system; AWGN; Additive white noise; Communication channels; Communication system control; Decoding; Delay; Feedback loop; Gaussian noise; Linear systems; Stability; Anytime decoding; control over noisy channels; error exponents; feedback; real-time information theory; reliability functions; sequential coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2006.878169
  • Filename
    1661825