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

Application of the free-model based neural networks in model reference adaptive inverse control

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

2 Author(s)
Harnold, C.-L.-M. ; Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA ; Lee, K.Y.

The free-model concept is implemented in the design of neuro-identifier and neuro-controller in the model reference adaptive inverse control. Through the off-line training of both neural networks, the proposed scheme obtains satisfactory performance on the tracking, pole positioning, and disturbance rejection in the inverted pendulum problem. Besides, it is shown that the control scheme implemented by the free-model based neural network can obtain more satisfactory performance than the one implemented by the conventional neural network. The conditions of satisfactory free-model approximation errors are derived for different cases. The implementation of the backward difference operator and inputs for the free-model based neural network are discussed

Published in:

American Control Conference, 2000. Proceedings of the 2000  (Volume:3 )

Date of Conference:

2000

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.