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	<id>https://murray.cds.caltech.edu/index.php?action=history&amp;feed=atom&amp;title=Real-valued_average_consensus_over_noisy_quantized_channels</id>
	<title>Real-valued average consensus over noisy quantized channels - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://murray.cds.caltech.edu/index.php?action=history&amp;feed=atom&amp;title=Real-valued_average_consensus_over_noisy_quantized_channels"/>
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	<updated>2026-07-28T16:43:55Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://murray.cds.caltech.edu/index.php?title=Real-valued_average_consensus_over_noisy_quantized_channels&amp;diff=19803&amp;oldid=prev</id>
		<title>Murray: htdb2wiki: creating page for 2008p_cm09-acc.html</title>
		<link rel="alternate" type="text/html" href="https://murray.cds.caltech.edu/index.php?title=Real-valued_average_consensus_over_noisy_quantized_channels&amp;diff=19803&amp;oldid=prev"/>
		<updated>2016-05-15T06:16:49Z</updated>

		<summary type="html">&lt;p&gt;htdb2wiki: creating page for 2008p_cm09-acc.html&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{HTDB paper&lt;br /&gt;
| authors = Andrea Censi, Richard M Murray&lt;br /&gt;
| title = Real-valued average consensus over noisy quantized channels&lt;br /&gt;
| source = American Control Conference (ACC)&lt;br /&gt;
| year = 2009&lt;br /&gt;
| type = Preprint&lt;br /&gt;
| funding = &lt;br /&gt;
| url = http://www.cds.caltech.edu/~murray/preprints/cm09-acc.pdf&lt;br /&gt;
| abstract = This paper concerns the average consensus problem with the constraint of quantized communication between nodes.  A broad class of algorithms is analyzed, in which the transmission strategy, which decides what value to communicate to the neighbors, can include various kinds of rounding, probabilistic quantization, and bounded noise. The arbitrariness of the transmission strategy is compensated by a feedback mechanism which can be interpreted as a self-inhibitory action. The result is that the average of the nodes state is not conserved across iterations, and the nodes do not converge to a consensus; however, we show that both errors can be made as small as desired. Bounds on these quantities involve the spectral properties of the graph and can be proved by employing elementary techniques of LTI systems analysis.&lt;br /&gt;
| flags = &lt;br /&gt;
| tag = cm09-acc&lt;br /&gt;
| id = 2008p&lt;br /&gt;
}}&lt;/div&gt;</summary>
		<author><name>Murray</name></author>
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