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Title:Active Control of Structures Using Genetic Algorithms
Author(s):Kim, Yoon-Jun
Doctoral Committee Chair(s):Ghaboussi, Jamshid
Department / Program:Civil Engineering
Discipline:Civil Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Engineering, Civil
Abstract:The methodology developed three major design aspects: a genetic algorithm-based control parameter optimization based on the real design criteria, a state space reconstruction technique for estimating the full state of a structure using accelerations measured from sensors installed on the structure, and the robustness of controllers to sensor noise and model uncertainty. These three topics are investigated in this study. Controllers are designed using different robustness criteria, and the results are compared and discussed. Results are also examined with other well-known control methods on the same evaluation criteria to provide a comparison. The proposed methodology has great potential to develop a general control design environment for various controllers including neuro and fuzzy controllers.
Issue Date:2000
Type:Text
Language:English
Description:124 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.
URI:http://hdl.handle.net/2142/83505
Other Identifier(s):(MiAaPQ)AAI9971110
Date Available in IDEALS:2015-09-25
Date Deposited:2000


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