By Topic

Model Identification of Cart-plus-Pendulum System Using Genetic Algorithm

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)
Puangdownreong, D. ; Dept. of Electr. Eng., South-East Asia Univ., Bangkok

This paper proposes an identification of a cart-plus-pendulum (CPP) system model via the genetic algorithm (GA), one of the most efficient AI searching techniques to compare with the Box-Jenkins (BJ) model obtained from the conventional identification method based on the regression analysis. Under testing, the system was excited by an uniformly distributed random input. The pendulum angles, output of the system, were monitored by the encoder. From the results of model identification and model validation, it was found that the GA gives the model representing system dynamics superior to the BJ model. Details and results of identification and validation are discussed and shown in the paper

Published in:

TENCON 2006. 2006 IEEE Region 10 Conference

Date of Conference:

14-17 Nov. 2006