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Error Correcting Codes for Distributed Control

Sukhavasi, Ravi Teja and Hassibi, Babak (2012) Error Correcting Codes for Distributed Control. . (Unpublished)

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The problem of stabilizing an unstable plant over a noisy communication link is an increasingly important one that arises in applications of networked control systems. Although the work of Schulman and Sahai over the past two decades, and their development of the notions of "tree codes" and "anytime capacity", provides the theoretical framework for studying such problems, there has been scant practical progress in this area because explicit constructions of tree codes with efficient encoding and decoding did not exist. To stabilize an unstable plant driven by bounded noise over a noisy channel one needs real-time encoding and real-time decoding and a reliability which increases exponentially with decoding delay, which is what tree codes guarantee. We prove that linear tree codes occur with high probability and, for erasure channels, give an explicit construction with an expected decoding complexity that is constant per time instant. We give novel sufficient conditions on the rate and reliability required of the tree codes to stabilize vector plants and argue that they are asymptotically tight. This work takes an important step towards controlling plants over noisy channels, and we demonstrate the efficacy of the method through several examples.

Item Type:Report or Paper (Discussion Paper)
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Additional Information:This work was supported in part by the National Science Foundation under grants CCF-0729203, CNS-0932428 and CCF-1018927, by the Office of Naval Research under the MURI grant N00014-08-1-0747, and by Caltech’s Lee Center for Advanced Networking.
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Office of Naval Research (ONR)N00014-08-1-0747
Caltech’s Lee Center for Advanced NetworkingUNSPECIFIED
Record Number:CaltechAUTHORS:20150127-072035730
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:54109
Deposited By: Shirley Slattery
Deposited On:27 Jan 2015 23:53
Last Modified:03 Oct 2019 07:55

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