Date of Award

Spring 1995

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Mechanical & Aerospace Engineering

Program/Concentration

Mechanical Engineering

Committee Director

Jen-Kuang Huang

Committee Member

Sebastian Bawab

Committee Member

Gene Hou

Call Number for Print

Special Collections; LD4331.E56 G89

Abstract

This thesis provides an investigation of a system identification algorithm which identifies an open-loop state-space model from a linear system that is operating under closed-loop conditions. In order to investigate the system identification algorithm some basic ideas of system identification theory are reviewed. Examples using simulated data are presented to characterize the effects of varying the parameters for open-loop and closed-loop system identification processes. Both noise· free and noise contaminated cases are simulated. Linear Quadratic Gaussian (LQG) control theory is reviewed and the motivation for using iterative LQG control feedback is discussed. The derivation of the proposed system identification algorithm is then presented. The algorithm is applied to simulated and experimental data from NASA's Large-Angle Magnetic Test Fixture (LAMSTF).

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DOI

10.25777/acqs-pm06

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