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

By Anant Sahai, Sanjoy K. Mitter. IEEE Transactions on Information Theory, 2006

438 citations recorded by the source corpus.

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

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/ef43272b6d1a30d9b9ecd1227744dc88051512e7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

  1. Kyoung-Dae Kim
  2. Julio H. Braslavsky
  3. P. Arun Raj Kumar
  4. Paolo Santi
  5. Michael C. Gastpar
  6. Jeffrey G. Andrews
  7. Andrea J. Goldsmith
  8. David Tse

In Control and Systems Engineering

  1. R. Middleton
  2. Julio H. Braslavsky
  3. Kyoung-Dae Kim
  4. P. Arun Raj Kumar
  5. J. Freudenberg

Citations in the corpus