Close category search window
 

Model-free learning control for unstable system

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 $31
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)
Ribeiro, C.H.C. ; Tech. Inst. of Aeronaut., ITA, Sao Paulo, Brazil ; Hemerly, E.M.

The authors consider the problem of model-free control via a reinforcement learning method that uses, as additional learning information, the distance between sampled and represented states, embedded in actions that are the result of a distancewise local interpolation scheme over states. Fast learning and a reduced number of trials resulted, as demonstrated in the real-time control of a magnetic levitation system

Published in:
Electronics Letters  (Volume:34 ,  Issue: 21 )

Date of Publication: 15 Oct 1998

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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.