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

Optimization of a Fuzzy PI Controller using Reinforcement 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)

This paper proposes a methodology for fine tuning of the conclusion part of fuzzy proportional-integral controllers (FPIC), using both a reinforcement learning method and all the available knowledge on the process under control. Membership functions on the error domain and rule conclusions are easily defined. Therefore only the conclusion part have to be tuned

Published in:

Information and Communication Technologies, 2006. ICTTA '06. 2nd  (Volume:1 )

Date of Conference:

0-0 0

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.