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

A methodology for block-oriented industrial nonlinear system by nonlinear separation control with neural learning

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)
Zhang, T. ; Dept. of Adv. Syst. Control Eng., Saga Univ., Japan ; Nakamura, M.

This paper presents a general methodology for designing controller for block-oriented industrial nonlinear system by nonlinear separation control with neural learning. In this study, through rough approximation of inverse input output nonlinear statics and accurate compensation of nonlinear dynamics with rigid definition of neural network as well as learning from actual system, control performances can be improved. Based on this method, high-precision contour control of industrial articulated robot arm and outlet working fluid heat rate control of evaporator in energy conversion plant were realized. The experiment and simulation verified the significant potential of the proposed method to industrial nonlinear systems.

Published in:

SICE 2002. Proceedings of the 41st SICE Annual Conference  (Volume:4 )

Date of Conference:

5-7 Aug. 2002

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.