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oai:www.ideals.illinois.edu:2142/21484 2023-07-10 col_2142_5131 col_2142_14800 com_2142_5130 com_2142_14799 com_2142_234

Yen, S.M. Lembeck, Michael Francis 2011-05-07T13:09:56Z 2011-05-07T13:09:56Z 10000-01-01 1991 This dissertation identifies the requirements and evaluates an architectural framework for an artificial neural network-based system that is capable of fulfilling monitoring and control requirements of future aerospace missions. Incorporated into this framework are a newly developed training algorithm and the concept of cooperative network architectures. The feasibility of such an approach is assessed for its ability to identify faults in low frequency waveforms and to generate subsequent controlling outputs for a single parameter spacecraft system. Made available in DSpace on 2011-05-07T13:09:56Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9136655.pdf: 6145870 bytes, checksum: a6628d523a014bf72c43d6de13a08c51 (MD5) Previous issue date: 1991 Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:51:06Z Item is restricted indefinitely. Restriction data tranferred 2014-07-01T11:23:25-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission ETDs are only available to UIUC Users without author permission U of I Only AAI9136655 (UMI)AAI9136655 http://hdl.handle.net/2142/21484 eng Copyright 1991 Lembeck, Michael Francis Engineering, Aerospace Computer Science Design methodology for a neural network-based telemetry monitor text Aerospace Engineering Aerospace Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.