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University of Illinois at Urbana-Champaign

Analytical and Experimental Study of Nonlinear Structural Control Using Neural Networks

Abstract

dc:description

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.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Civil Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bani-Hani, Khaldoon A.
Contributors dc:contributor
  • Ghaboussi, Jamshid

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI9921659
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/83470

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Bani-Hani, Khaldoon A.. Analytical and Experimental Study of Nonlinear Structural Control Using Neural Networks. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/83470