NDLI: Reputation-based networked control with data-corrupting channels

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Reputation-based networked control with data-corrupting channels

Content Provider	ACM Digital Library
Author	Venkatasubramanian, Krishna K. Sundaram, Shreyas Enyioha, Chinwendu Chang, Jian Pappas, George J. Lee, Insup
Abstract	We examine the problem of reliable networked control when the communication channel between the controller and the actuator periodically drops packets and is faulty (i.e., corrupts/alters data). We first examine the use of a standard triple modular redundancy scheme (where the control input is sent via three independent channels) with majority voting to achieve mean square stability. While such a scheme is able to tolerate a single faulty channel when there are no packet drops, we show that the presence of lossy channels prevents a simple majority-voting approach from stabilizing the system. Moreover, the number of redundant channels that are required in order to maintain stability under majority voting increases with the probability of packet drops. We then propose the use of a reputation management scheme to overcome this problem, where each channel is assigned a reputation score that predicts its potential accuracy based on its past behavior. The reputation system builds on the majority voting scheme and improves the overall probability of applying correct (stabilizing) inputs to the system. Finally, we provide analytical conditions on the probabilities of packet drops and corrupted control inputs under which mean square stability can be maintained, generalizing existing results on stabilization under packet drops.
Starting Page	291
Ending Page	300
Page Count	10
File Format	PDF
ISBN	9781450306294
DOI	10.1145/1967701.1967743
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-04-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Stability analysis Reputation Networked control Majority voting
Content Type	Text
Resource Type	Article

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