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  <title><![CDATA[AE Presents: University of Buffalo's John L. Crassidis]]></title>
  <body><![CDATA[<p>You are invited to hear</p>

<h3><strong>Dr. John L. Crassidis<br />
CUBRC Professor in Space Situational Awareness &amp;<br />
Director, Center for Multisource Information Fusion<br />
Department of Mechanical &amp; Aerospace Engineering<br />
University of Buffalo, State University of New York</strong></h3>

<p>Montgomery Knight 317 @ 3:30pm</p>

<h3><strong>Abstract:</strong></h3>

<p>Estimating the attitude of a rigid body has applications to many systems, including spacecraft, inertial navigation of aerial vehicles (both piloted and uninhabited), underwater vehicles, and robotic systems, to name a few.&nbsp; The first known algorithm for attitude estimation dates back to 1970, which is based on the famous quasi-linear (extended) Kalman filter algorithm.&nbsp; This algorithm has been the workhorse for most systems that require attitude knowledge.&nbsp; Due to the inherent nonlinearities associated with attitude estimation, numerous nonlinear estimation techniques have been developed since that time.&nbsp; Some have shown global, or near-global, convergence while others focus on robust methods to handle model errors or non-Gaussian characteristics. &nbsp;Much less attention has been given to the problem of estimating vector state coordinates with respect to the attitude state coordinate frame.&nbsp; This work presents a new error definition in which vector error quantities are defined using elements expressed in a common frame. &nbsp;It is claimed here that the new error definition is more grounded theoretically than the usual error definition used by all other techniques.&nbsp; Examples in spacecraft attitude estimation are given to show the advantage of the new error definition over the standard error definition.</p>

<h3><strong>About the speaker:</strong></h3>

<p>Dr. John L. Crassidis is the CUBRC Professor in Space Situational Awareness in the Department of Mechanical and Aerospace Engineering at the University at Buffalo (UB), State University of New York. &nbsp;Before joining UB in 2001, he held previous academic appointments at the Catholic University of America and Texas A&amp;M University.&nbsp; He also held a position as a NASA Postdoctoral Research Fellow at Goddard Space Flight Center, where he worked on a number of spacecraft.&nbsp; Currently, he is Director of UB&rsquo;s Center for Multisource Information Fusion, which is the only dedicated university data fusion center in the country.&nbsp; It is involved in basic research and developmental programs through various government laboratories, companies and university partners.&nbsp; He is also Director of UB&rsquo;s Nanosatellite Laboratory.&nbsp; Dr. Crassidis is a Fellow of the American Astronautical Society, and a Fellow of the American Institute of Aeronautics and Astronautics.</p>
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<h3><strong>Dr. John L. Crassidis<br />
CUBRC Professor in Space Situational Awareness &amp;<br />
Director, Center for Multisource Information Fusion<br />
Department of Mechanical &amp; Aerospace Engineering<br />
University of Buffalo, State University of New York</strong></h3>

<p>Montgomery Knight 317 @ 3:30pm</p>
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