Adaptive Modeling, Identification, and control of dynamic structural Systems. I: Theory
Publication: Journal of Engineering Mechanics
Volume 115, Issue 11
Abstract
A concise review of the fheory of adaptive modeling, identification, and control of dynamic structural systems based on discrete‐time recordings is presented. Adaptive methods have four major advantages over the classical methods: (1) Removal of the noise from the signal is done over the whole frequency band; (2) time‐varying characteristics of systems can be tracked; (3) systems with unknown characteristics can be controlled; and (4) a small segment of the data is needed during the computations. Included in the paper are the discrete‐time representation of single‐input single‐output (SISO) systems, models for SISO systems with noise, the concept of stochastic approximation, recursive prediction error method (RPEM) for system identification, and the adaptive control. Guidelines for model selection and model validation and the computational aspects of the method are also discussed in the paper. The present paper is the first of two companion papers. The theory given in the paper is limited to that which is necessary to follow the examples for applications in structural dynamics presented in the second paper.
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Published In
Journal of Engineering Mechanics
Volume 115 • Issue 11 • November 1989
Pages: 2386 - 2405
Copyright
Copyright © 1989 ASCE.
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Published online: Nov 1, 1989
Published in print: Nov 1989
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