https://murray.cds.caltech.edu/index.php?action=history&feed=atom&title=A_bio-plausible_design_for_visual_attitude_stabilization 2026-07-27T22:40:34Z Revision history for this page on the wiki MediaWiki 1.44.2 https://murray.cds.caltech.edu/index.php?title=A_bio-plausible_design_for_visual_attitude_stabilization&diff=19792&oldid=prev 2016-05-15T06:16:39Z

<p>htdb2wiki: creating page for 2009e_chfm09-cdc.html</p> <p><b>New page</b></p><div>{{HTDB paper<br /> | authors = Andrea Censi, Shuo Han, Sawyer B Fuller, Richard M Murray<br /> | title = A bio-plausible design for visual attitude stabilization<br /> | source = Conference on Decision and Control (CDC)<br /> | year = 2009<br /> | type = Preprint<br /> | funding = <br /> | url = http://www.cds.caltech.edu/~murray/preprints/chfm09-cdc.pdf<br /> | abstract = We consider the problem of attitude stabilization using exclusively visual sensory input, and we look for a solution which can satisfy the constraints of a ``bio-plausible&#039;&#039; computation. We obtain a PD controller which is a bilinear form of the goal image, and the current and delayed visual input. Moreover, this controller can be learned using classic neural networks algorithms. The structure of the resulting computation, derived from general principles by imposing a bilinear computation, has striking resemblances with existing models for visual information processing in insects (Reichardt Correlators and lobula plate tangential cells). We validate the algorithms using faithful simulations of the fruit fly visual input.<br /> | flags = <br /> | tag = chfm09-cdc<br /> | id = 2009e<br /> }}</div>

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