Full Content is available to subscribers

Subscribe/Learn More  >

Optimum Input for System Identification for Systems With Actuator Saturation Using Genetic Algorithms

[+] Author Affiliations
Marco P. Schoen

Idaho State University, Pocatello, ID

Sinchai Chinvorarat

King Mongkut’s Institute of Technology, Bangkok, Thailand

Gerhard M. Schoen

Steinmaur, Switzerland

Paper No. IMECE2002-33429, pp. 201-207; 7 pages
  • ASME 2002 International Mechanical Engineering Congress and Exposition
  • Dynamic Systems and Control
  • New Orleans, Louisiana, USA, November 17–22, 2002
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 0-7918-3629-0 | eISBN: 0-7918-1691-5, 0-7918-1692-3, 0-7918-1693-1
  • Copyright © 2002 by ASME


This paper presents an efficient implementation of constraint optimum input design for on-line system identification for systems exhibiting actuator saturation. The constraint optimal input is calculated recursively based on the imminent available information content in the inverse correlation matrix of the data. The new input is computed one step ahead of time with a predictive filter so that it will increase the information content in the inverse correlation matrix. The information content is maximized with help of a simple genetic algorithm. A numerical example indicates superiority of the proposed method over the traditional method where white gaussian noise is used as the input.

Copyright © 2002 by ASME



Interactive Graphics


Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

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 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