0
TECHNICAL PAPERS

Identification of Linear Parameter-Varying Systems Using Nonlinear Programming

[+] Author and Article Information
Lawton H. Lee

Lockheed Martin Missiles & Space Co., Box 3504, Sunnyvale CA 94089-3504

Kameshwar Poolla

Department of Mechanical Engineering, University of California, Berkeley CA 94720

J. Dyn. Sys., Meas., Control 121(1), 71-78 (Mar 01, 1999) (8 pages) doi:10.1115/1.2802444 History: Received June 24, 1997; Online December 03, 2007

Abstract

This paper deals with the identification of a linear parameter-varying (LPV) system whose parameter dependence can be written as a linear-fractional transformation (LFT). We formulate an output-error identification problem and present a parameter estimation scheme in which a prediction error-based cost function is minimized using nonlinear programming; its gradients and (approximate) Hessians can be computed using LPV filters and inner products, and identifiable model sets (i.e., local canonical forms) are obtained efficiently using a natural geometrical approach. Some computational issues and experiences are discussed, and a simple numerical example is provided for illustration.

Copyright © 1999 by The American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

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