Coupling Between the Modeling and Controller-Design Problems—Part I: Analysis

[+] Author and Article Information
G. A. Brusher

Ford Motor Company, Dearborn, MI

P. T. Kabamba, A. G. Ulsoy

University of Michigan, Ann Acbor, MI

J. Dyn. Sys., Meas., Control 119(3), 498-502 (Sep 01, 1997) (5 pages) doi:10.1115/1.2801285 History: Received September 16, 1993; Online December 03, 2007


Controller-design issues influence modeling decisions; therefore, the modeling and controller-design problems are coupled. Part I of this paper proposes a quantification of this coupling in terms of the size of the set of models from which satisfactory controllers may be derived. Moreover, in the context of an extremely general framework, we prove that the coupling increases as performance specifications are tightened and as uncertainty is increased. Furthermore, the existence of a preferred model for controller design is demonstrated; this model is preferred in the sense that its use leads to improved robustness or performance. However, this model does not necessarily satisfy our intuitive notion of a worst-case model; rather, it depends on the performance specifications and uncertainty. The analysis of coupling presented herein motivates the design approach formulated in the companion paper, Part II.

Copyright © 1997 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