Kalman Filter—Finite Element Method in Identification
Publication: Journal of Engineering Mechanics
Volume 119, Issue 2
Abstract
The extended Kalman filter, which is essentially a method of sequential least‐squares estimation, has been applied not only for dynamic parameter identification but also for static or dynamic system identification problems. In order to obtain the stable and convergent estimation in dynamic or static parameter identification problems, an extended Kalman filter‐weighted local iteration procedure with an objective function (EK‐WLI procedure) is previously proposed by writers. This paper investigates the procedure in geotechnical engineering problems, where the EK‐WLI procedure is incorporated with the finite element method in order to identify unknown parameters. For the effectiveness of this proposed procedure, parameter identification problems are numerically analyzed for an elastic plane strain field represented by finite element models under several conditions. And numerical examples show the usefulness of this method in parameter identification of a plain strain field.
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Information & Authors
Information
Published In
Journal of Engineering Mechanics
Volume 119 • Issue 2 • February 1993
Pages: 197 - 210
Copyright
Copyright © 1993 American Society of Civil Engineers.
History
Received: Dec 26, 1991
Published online: Feb 1, 1993
Published in print: Feb 1993
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