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

Temperature control of CST process using Gaussian neural network with adaptive learning rate

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

3 Author(s)
Saxena, S.C. ; Dept. of Electr. Eng., Roorkee Univ., India ; Kumar, V. ; Waghmare, L.M.

This paper deals with an indirect adaptive control scheme using the feedback linearization technique. In this method an online estimation of nonlinear functions using neural network was carried out. The estimated functions were then used to construct a control law to compute the control signal. The neural network with Gaussian potential functions in the hidden layer was used here. In order to overcome the difficulties associated with the optimal selection of the learning rate parameter, a new method for adaptive learning rate was developed. Further, to overcome the limitations of online identification and control in the neural network based adaptive control system, in addition to the control signal obtained from the estimated parameters, a linear control law was obtained. This proposed strategy was implemented and its performance for real time application was evaluated on the experimental setup of a continuously stirred tank (CST) process

Published in:

Control Applications, 2000. Proceedings of the 2000 IEEE International Conference on

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.