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RESEARCH PAPERS

On the Improvement of Deconvolution With Digitized Data Using a Runge-Kutta Integration Scheme

[+] Author and Article Information
J. R. Houghton

Department of Mechanical Engineering, Tennessee State University, Nashville, Tenn.

M. A. Townsend, P. F. Packman

Department of Mechanical Engineering and Materials Science, Vanderbilt University, Nashville, Tenn.

J. Dyn. Sys., Meas., Control 99(3), 190-192 (Sep 01, 1977) (3 pages) doi:10.1115/1.3427101 History: Received June 27, 1977; Online July 13, 2010

Abstract

A relatively simple change in the treatment of the input function in numerical integration of high-order differential equations by Runge-Kutta methods provides substantial improvements in accuracy, particularly when the forcing function is in digitized form. The Runge-Kutta-Gill coefficients are modified to incorporate the changes; with pulse-type excitations, improvements on the order of 2 to 50 times greater accuracy are demonstrated.

Copyright © 1977 by ASME
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