2026-09-20T20:49:46Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/83470 2023-07-11 col_2142_5131 col_2142_14770 com_2142_5130 com_2142_3518 com_2142_234

Ghaboussi, Jamshid Bani-Hani, Khaldoon A. 2015-09-25T21:05:06Z 2015-09-25T21:05:06Z 10000-01-01 1998 1998 Finally, a linear quadratic Gaussian optimal regulator ( LQG) is designed from an experimentally identified model. Then, the optimal controller is assessed and compared to the neurocontroller results. Additionally, the stability and robustness of the controller is illustrated and outlined. It is shown experimentally that the neurocontrollers performance is superior to the optimal controller performance. Made available in DSpace on 2015-09-25T21:05:06Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9921659.pdf: 20738118 bytes, checksum: 79965b3b6676c7188a3e09b6f4f69235 (MD5) Previous issue date: 1998 Embargo set by: Seth Robbins for item 84751 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 421 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998. http://hdl.handle.net/2142/83470 (MiAaPQ)AAI9921659 eng Artificial Intelligence Analytical and Experimental Study of Nonlinear Structural Control Using Neural Networks text Civil Engineering Civil Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.