• DocumentCode
    2584477
  • Title

    Is Witsenhausen´s counterexample a relevant toy?

  • Author

    Grover, Pulkit ; Sahai, Anant

  • Author_Institution
    Dept. of EECS, Univ. of California at Berkeley, Berkeley, CA, USA
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    585
  • Lastpage
    590
  • Abstract
    This paper answers a question raised by Doyle on the relevance of the Witsenhausen counterexample as a toy decentralized control problem. The question has two sides, the first of which focuses on the lack of an external channel in the counterexample. Using existing results, we argue that the core difficulty in the counterexample is retained even in the presence of such a channel. The second side questions the LQG formulation of the counterexample. We consider alternative formulations and show that the understanding developed for the LQG case guides the investigation for these other cases as well. Specifically, we consider 1) a variation on the original counterexample with general, but bounded, noise distributions, and 2) an adversarial extension with bounded disturbance and quadratic costs. For each of these formulations, we show that quantization-based nonlinear strategies outperform linear strategies by an arbitrarily large factor. Further, these nonlinear strategies also perform within a constant factor of the optimal, uniformly over all possible parameter choices (for fixed noise distributions in the Bayesian case). Fortuitously, the assumption of bounded noise results in a significant simplification of proofs as compared to those for the LQG formulation. Therefore, the results in this paper are also of pedagogical interest.
  • Keywords
    decentralised control; linear quadratic Gaussian control; nonlinear control systems; LQG formulation; Witsenhausen counterexample; bounded disturbance; bounded noise distribution; external channel; quadratic cost; quantization-based nonlinear strategy; toy decentralized control problem; Bayesian methods; Entropy; Noise; Quantization; Random variables; Stochastic processes; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5718185
  • Filename
    5718185