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dc.contributor.advisorBurl, Jeff B.
dc.contributor.authorSegura, Clement M.
dc.date1990-06
dc.date.accessioned2013-08-01T21:15:20Z
dc.date.available2013-08-01T21:15:20Z
dc.date.issued1990-06
dc.identifier.urihttp://hdl.handle.net/10945/34826
dc.descriptionApproved for public release; distribution unlimited.en_US
dc.description.abstractThis document reports the results of research into the application of artificial neural networks to controlling dynamic systems. The network used is a feed-forward, fully-connected, 3-layer perception. Two methods of training neural networks via error back-propagation were used. Pattern matching training is a direct method that teaches the basic response. Performance index training is a new technique that refines the response. Performance index training is based on the concept of enforced performance. A neural network will learn to meet a specific performance goal if the performance standard is the only solution to a problem. Performance index training is devised to teach the neural network the time-optimal control law for the system. Real-time adaptation of a neural network in closed loop control of the CrewEquipment Retriever was demonstrated in computer simulations.en_US
dc.format.extentv, 71 p. ill.en_US
dc.languageen_US
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.subject.lcshSpace vehicles.en_US
dc.titleAn artificial neural network control system for spacecraft attitude stabilizationen_US
dc.typeThesisen_US
dc.contributor.secondreaderCristi, Roberto.
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentElectrical Engineering
dc.subject.authorNeural Networksen_US
dc.subject.authorAttitude Stabilizationen_US
dc.subject.authorPattern Matching Trainingen_US
dc.subject.authorTime-Optimal Control Lawen_US
dc.subject.authorPerformance Index Trainingen_US
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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