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
Link To Document