An Algorithm for Obtaining Proper Models of Distributed and Discrete Systems

[+] Author and Article Information
B. H. Wilson

Department of MIME, Northeastern University, 334 Snell Engineering Center, Boston, MA 02115

J. L. Stein

Department of MEAM, University of Michigan, 2250 GG Brown Lab, Ann Arbor, MI 48109

J. Dyn. Sys., Meas., Control 117(4), 534-540 (Dec 01, 1995) (7 pages) doi:10.1115/1.2801111 History: Received December 03, 1992; Online December 03, 2007


The development of automated modeling software requires strategies for synthesizing mathematical models of systems with distributed and discrete characteristics. A model order deduction algorithm (MODA) is developed to deduce a Proper System Model by selecting the proper complexity of submodels of components in a system subject to a frequency based metric. A Proper Model in this context means that (1) the system model has the minimum spectral radius out of all possible system models of equivalent or greater complexity, and (2) any increase in the model complexity will result in spectral radius beyond a specific frequency range of interest. Proper Models are also defined to have physically meaningful parameters. Proper Models are intended to be useful for design, where mapping the relationship between design parameters and dominant system dynamics is critical. While MODA is illustrated using the application of machine-tool drive systems, it is readily applicable to other modeling applications.

Copyright © 1995 by The American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.





Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In