• DocumentCode
    2482545
  • Title

    Witsenhausen´s Counter Example Holds in the Presence of Side Information

  • Author

    Martins, Nuno C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD
  • fYear
    2006
  • fDate
    13-15 Dec. 2006
  • Firstpage
    1111
  • Lastpage
    1116
  • Abstract
    In this paper, we consider a two-step decentralized control problem with two agents which are not co-located. The first agent is located at the source of a disturbance, it can measure the disturbance with high accuracy and it can perform local actuation, while communicating with the second agent via a Gaussian channel with a prescribed signal to noise ratio. What remains of the disturbance, after the control action of the first agent, will hit the second agent after a fixed delay. The second agent has noisy measurements as well as the information conveyed through the communication channel to decide on the best strategy to reduce the effects of the remaining disturbance. The control design paradigm is to minimize a quadratic cost combining the control power of the first agent and the final effect of the disturbance at the second agent. Such a framework can be viewed as an extension of the well known Witsenhausen´s counter-example which did not include a communication channel. In the absence of a channel, Hans Witsenhausen has shown, by means of an example, that nonlinear strategies outperform the best linear strategy. This result is not obvious because the framework is linear and Gaussian, and the cost is quadratic. In this paper, we give an example illustrating that Witsenhausen´s conclusion holds for our framework where a communication channel is present. We provide numerical results showing that, for a large range of the signal to noise ratio at the channel, nonlinear strategies strongly out-perform the best linear strategies
  • Keywords
    Gaussian channels; control system synthesis; cost optimal control; decentralised control; delays; minimisation; nonlinear control systems; Gaussian channel; Witsenhausen counter-example; communication channel; control design; decentralized control; nonlinear control; quadratic cost minimization; signal to noise ratio; system delay; system disturbance; Communication channels; Communication system control; Costs; Counting circuits; Delay; Distributed control; Gaussian channels; Noise measurement; Performance evaluation; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2006 45th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    1-4244-0171-2
  • Type

    conf

  • DOI
    10.1109/CDC.2006.376861
  • Filename
    4177961