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

Extracting Compact Fuzzy Model for MIMO Systems Using Multi-Objective Genetic Algorithms

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)
Katebi, S.D. ; Dept. of Comput. Sci. & Eng. Sch. of Eng., Shiraz Univ., Shiraz ; Katebi, M.

A new method based on multi-objective genetic algorithm (MOGA) is proposed to extract parsimonious fuzzy rule bases for modeling nonlinear MIMO dynamical systems. Structure selection, parameter estimation, model performance and model validation are important objectives in the process of non-linear system identification. MOGA is applied to these multiple, conflicting objectives and yields a set of candidate parsimonious and valid fuzzy models. The algorithm combines the advantages of genetic algorithms strong search capacity and recursive least square (RLS) fast convergence. Antecedent parts of a complete fuzzy model and inclusion/exclusion of fuzzy rules are coded into a chromosome. Then RLS is used to determine the consequent parts of selected rules. The practical applicability of the proposed algorithm is examined by an industrial nonlinear system modeling benchmark problem.

Published in:

Computer Modeling and Simulation, 2008. EMS '08. Second UKSIM European Symposium on

Date of Conference:

8-10 Sept. 2008

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.