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	<title>Consensus Protocols for Networks of Dynamic Agents - Revision history</title>
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	<updated>2026-07-03T05:44:43Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://murray.cds.caltech.edu/index.php?title=Consensus_Protocols_for_Networks_of_Dynamic_Agents&amp;diff=19938&amp;oldid=prev</id>
		<title>Murray: htdb2wiki: creating page for 2002o_om03-acc.html</title>
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		<updated>2016-05-15T06:18:54Z</updated>

		<summary type="html">&lt;p&gt;htdb2wiki: creating page for 2002o_om03-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 = Reza Olfati-Saber and Richard M. Murray&lt;br /&gt;
| title = Consensus Protocols for Networks of Dynamic Agents&lt;br /&gt;
| source = 2003 American Control Conference&lt;br /&gt;
| year = 2002&lt;br /&gt;
| type =  Conference &lt;br /&gt;
  Paper&lt;br /&gt;
| funding = AFOSR/MURI&lt;br /&gt;
| url = http://www.cds.caltech.edu/~murray/preprints/om03-acc.pdf&lt;br /&gt;
| abstract = &lt;br /&gt;
In this paper, we introduce a consensus protocol for a network of dynamic &lt;br /&gt;
agents that allows the agents to reach &lt;br /&gt;
a decision in a distributed and cooperative &lt;br /&gt;
fashion. We consider both linear and nonlinear protocols as well as &lt;br /&gt;
the characteristic function of the communication links in the network. &lt;br /&gt;
This includes links with delay and (possible) distortion/filtering effects. &lt;br /&gt;
It turns out that for a number of protocols, the convergence properties &lt;br /&gt;
and the decision-value obtained via this protocol is strongly related &lt;br /&gt;
to connectivity and algebraic graph theoretic properties of the information &lt;br /&gt;
flow in the network of decision-making agents. Standard &lt;br /&gt;
tools from multivariable control and linear control theory such as Nyquist &lt;br /&gt;
plots appear naturally for convergence analysis of the obtained linear &lt;br /&gt;
protocols. For the analysis of the nonlinear protocols, certain &lt;br /&gt;
disagreement costs are constructed that are minimized by the consensus &lt;br /&gt;
protocols in a distributed way. Simulation results are provided for attitude &lt;br /&gt;
alignment of a group of 20 dynamic agents. &lt;br /&gt;
&lt;br /&gt;
| flags = &lt;br /&gt;
| tag = om03-acc&lt;br /&gt;
| id = 2002o&lt;br /&gt;
}}&lt;/div&gt;</summary>
		<author><name>Murray</name></author>
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