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Knowledge based tools for Hubble Space Telescope planning and scheduling: Constraints and strategiesThe Hubble Space Telescope (HST) presents an especially challenging scheduling problem since a year's observing program encompasses tens of thousands of exposures facing numerous coupled constraints. Recent progress in the development of planning and scheduling tools is discussed which augment the existing HST ground system. General methods for representing activities, constraints, and constraint satisfaction, and time segmentation were implemented in a scheduling testbed. The testbed permits planners to evaluate optimal scheduling time intervals, calculate resource usage, and to generate long and medium range plans. Graphical displays of activities, constraints, and plans are an important feature of the system. High-level scheduling strategies using rule based and neural net approaches were implemented.
Document ID
19880020954
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Miller, Glenn
(Computer Sciences Corp. Baltimore, MD., United States)
Johnston, Mark
(Space Telescope Science Inst. Baltimore, MD., United States)
Vick, Shon
(Space Telescope Science Inst. Baltimore, MD., United States)
Sponsler, Jeff
(Space Telescope Science Inst. Baltimore, Md., United States)
Lindenmayer, Kelly
(Computer Sciences Corp. Baltimore, MD, United States)
Date Acquired
September 5, 2013
Publication Date
August 1, 1988
Publication Information
Publication: NASA, Goddard Space Flight Center, The 1988 Goddard Conference on Space Applications of Artificial Intelligence
Subject Category
Cybernetics
Accession Number
88N30338
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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