Cart (Loading....) | Create Account
Close category search window
 

Identification method of nonlinear systems with friction based on Genetic Algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Nakajima, K. ; Dept. of Electron. Eng., Gunma Univ., Gunma, Japan ; Nakajima, J. ; Truong Van Khoa ; Hashimoto, S.

Genetic Algorithm (GA) is an optimization procedure which can be applied to the identification of the nonlinear structure of a dynamic model by using experimental data. In this paper, the GA is introduced to identify the precision stage with the nonlinear friction. By means of the GA approach with a nonlinear polynomial model, the structure as well as its coefficients can be modeled accurately, and the resulting model provides a useful physical meaning. The efficiency of the proposed GA-based identification is verified by the experiments using the precision positioning equipment.

Published in:

Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on

Date of Conference:

20-21 Oct. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.