By Topic

An Intelligent Controller Based on Fuzzy Target Acquired by 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

1 Author(s)
Yasunobu, S. ; Dept. of Intelligent Interaction Technol., Tsukuba Univ.

The cooperation system operated with the human and the computer is important. In this paper, the fuzzy target knowledge that decides the auxiliary target to reach the final goal by the reinforced learning is acquired. An intelligent cooperated control system that decides the control instruction based on this fuzzy target and the driving knowledge is proposed. The human easily understands the response to the change in the situation of this intelligent control system. The simulation result showed that the system used the fuzzy knowledge acquired by this reinforcement learning was able to achieve a flexible driving in cooperation with the human

Published in:

SICE-ICASE, 2006. International Joint Conference

Date of Conference:

18-21 Oct. 2006