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	<id>https://murray.cds.caltech.edu/index.php?action=history&amp;feed=atom&amp;title=Online_Control_Customization_via_Optimization-Based_Control</id>
	<title>Online Control Customization via Optimization-Based Control - Revision history</title>
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	<updated>2026-05-16T21:46:15Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://murray.cds.caltech.edu/index.php?title=Online_Control_Customization_via_Optimization-Based_Control&amp;diff=19953&amp;oldid=prev</id>
		<title>Murray: htdb2wiki: creating page for 2001n_mur+03-sec.html</title>
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		<updated>2016-05-15T06:19:09Z</updated>

		<summary type="html">&lt;p&gt;htdb2wiki: creating page for 2001n_mur+03-sec.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 = Richard M. Murray et al.&lt;br /&gt;
| title = Online Control Customization via Optimization-Based Control&lt;br /&gt;
| source = In &amp;lt;i&amp;gt;Software-Enabled Control:  Information Technology for Dynamical Systems&amp;lt;/i&amp;gt;, T. Samad and G. Balas (eds.),  IEEE Press, 2001 (submitted)&lt;br /&gt;
| year = 2001&lt;br /&gt;
| type = Book Chapter&lt;br /&gt;
| funding = DARPA/SEC&lt;br /&gt;
| url = http://www.cds.caltech.edu/~murray/preprints/mur+03-sec.pdf&lt;br /&gt;
| abstract = &lt;br /&gt;
In this chapter, we present a framework for online control customization that&lt;br /&gt;
makes use of finite-horizon, optimal control combined with real-time&lt;br /&gt;
trajectory generation and optimization.  The results are based on a novel&lt;br /&gt;
formulation of receding-horizon optimal control that replaces the traditional&lt;br /&gt;
terminal constraints with a control Lyapunov function-based terminal cost.&lt;br /&gt;
This formulation leads to reduced computational requirements and allows proof&lt;br /&gt;
of stability under a variety of realistic assumptions on computation.  By&lt;br /&gt;
combining these theoretical advances with advances in computational power for&lt;br /&gt;
real-time, embedded systems, we demonstrate the efficacy of online control&lt;br /&gt;
customization via optimization-based control.  The results are demonstrated&lt;br /&gt;
using a nonlinear, flight control experiment at Caltech.&lt;br /&gt;
&lt;br /&gt;
| flags = &lt;br /&gt;
| filetype = PDF, 25 pages&lt;br /&gt;
| filesize = 429K&lt;br /&gt;
| tag = mur+03-sec&lt;br /&gt;
| id = 2001n&lt;br /&gt;
}}&lt;/div&gt;</summary>
		<author><name>Murray</name></author>
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