Prediction Control of SDOF System
Publication: Journal of Engineering Mechanics
Volume 121, Issue 10
Abstract
General discussions are presented on an instantaneous optimal prediction control, which includes a series of identification, prediction, and control on a single degree of freedom (SDOF) system. First, a method for the identification of the dynamic properties of the system, which is modeled by a multivariate autoregressive moving average (ARMA) model, is investigated with the responses of the system excited by an active control device. Then general modes of an instantaneous optimal prediction control rule are formulated in terms of the identified components of the coefficient matrix of the ARMA model and the weights included in the control objective function. The prediction control rule is interpreted as an equivalent neural-network model whose links have physically meaningful weights.
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Information & Authors
Information
Published In
Journal of Engineering Mechanics
Volume 121 • Issue 10 • October 1995
Pages: 1049 - 1055
Copyright
Copyright © 1995 American Society of Civil Engineers.
History
Published online: Oct 1, 1995
Published in print: Oct 1995
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