By Topic

Online self-evolving fuzzy controller for autonomous mobile robots

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)
Sadeghi-Tehran, P. ; Sch. of Comput. & Commun., Lancaster Univ., Lancaster, UK ; Angelov, P.

In this paper, an online self-evolving fuzzy controller is proposed for an autonomous leader/follower. The self-evolving controller starts with a simple configuration and learns from its own actions while controlling the mobile robot during the leader following behaviour. A traditional Takagi-Sugeno type fuzzy controller is also implemented and compared with the proposed controller to verify the reliability and performance of the self-evolving controller. Experiments are carried out with a real mobile robot Pioneer 3DX at Lancaster University.

Published in:

Evolving and Adaptive Intelligent Systems (EAIS), 2011 IEEE Workshop on

Date of Conference:

11-15 April 2011