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Model compilation for real-time planning and diagnosis with feedback

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dc.contributor.author Barrett, Anthony
dc.date.accessioned 2006-03-30T17:34:30Z
dc.date.available 2006-03-30T17:34:30Z
dc.date.issued 2005-07-30
dc.identifier.citation 19th International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, July 30- August 5, 2005. en
dc.identifier.clearanceno 05-2110
dc.identifier.uri http://hdl.handle.net/2014/38976
dc.description.abstract This paper describes MEXEC, an implemented micro executive that compiles a device model that can have feedback into a structure for subsequent evaluation. This system computes both the most likely current device mode from n sets of sensor measurements and the n-1 step reconfiguration plan that is most likely to result in reaching a target mode – if such a plan exists. A user tunes the system by increasing n to improve system capability at the cost of real-time performance. en
dc.description.sponsorship NASA/JPL en
dc.format.extent 302122 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005 en
dc.subject domain compilation en
dc.subject embedded real time planning en
dc.subject diagnosis en
dc.title Model compilation for real-time planning and diagnosis with feedback en
dc.type Preprint en


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