Active Control of Structures Using Genetic Algorithms

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.

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 dc:creator

• Kim, Yoon-Jun

Contributors dc:contributor

• Ghaboussi, Jamshid

• Engineering, Civil

Language dc:language

eng

Identifier

(MiAaPQ)AAI9971110

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/83505