2026-09-19T02:39:01Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/23523 2023-07-10 col_2142_5131 col_2142_14787 com_2142_5130 com_2142_9630 com_2142_234

Lu, Stephen C-Y Hall, James William 2011-05-07T14:17:22Z 2011-05-07T14:17:22Z 10000-01-01 1992 This investigation demonstrates that neural networks can perform some of the tasks in controlling complex systems that have been traditionally reserved for humans. Neural networks can be used to fuse different types of knowledge from many sources into a general process model. This technique allows process models to be formed for systems that are too complex to be modeled with conventional tools. By adding relatively few local measurements, a general process model can be calibrated into a numerically accurate local model of the process. This local model can then used for steady-state process optimization. The architectures and training techniques needed to produce neural networks capable of performing these functions are discussed. This technology was applied to the control of a complex system--a grain harvesting combine. Field tests of the harvesting process under neural network control demonstrated that the controller was robust and capable of exceeding the performance of expert human operators. Made available in DSpace on 2011-05-07T14:17:22Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9401931.pdf: 5857901 bytes, checksum: 4a8bfb0c20e24afbe95a1f49afd6ed00 (MD5) Previous issue date: 1992 Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T15:05:03Z Item is restricted indefinitely. Restriction data tranferred 2014-07-01T11:31:08-05:00 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 AAI9401931 (UMI)AAI9401931 http://hdl.handle.net/2142/23523 eng Copyright 1992 Hall, James William Engineering, Agricultural Engineering, Mechanical Artificial Intelligence Emulating human process control functions with neural networks text Engineering, Agricultural Engineering, Mechanical Artificial Intelligence Engineering, Agricultural Engineering, Mechanical Artificial Intelligence University of Illinois at Urbana-Champaign Dissertation Ph.D.