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

A Cloud Model Based Computational Intelligence Algorithm for Parameter Identification of Chaotic Systems

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)
Junfeng Chen ; Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China ; Tiejun Wu

Based on the properties of the cloud model on the process of transforming a qualitative concept to a set of quantitative numerical values, an adaptive computational intelligence optimization algorithm is proposed by analyzing the correspondence between search characteristics and cloud models. In the proposed algorithm, the feature parameters of solution sets are created by a multidimensional backward cloud generator, and then adaptively adjusted based on the change of the elite solution candidates. The result is then used by a forward cloud generator to produce the solution set of next generation. No any search parameters are predefined, and, no matter what the initial solution set is, the whole system can adaptively search for solutions to various complicated optimization problems. Two illustrative examples of parameter identification for Lorenz and Chen chaotic systems are given with the aid of an appropriate evaluation function. Numerical simulation and comparisons with the other two existing algorithms demonstrate the effectiveness and feasibility of the proposed algorithm.

Published in:

Computational Intelligence and Security (CIS), 2011 Seventh International Conference on

Date of Conference:

3-4 Dec. 2011

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.