Access Restriction

Author Tsung-Chih Lin ♦ Chia-Hao Kuo ♦ Balas, V.E.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Fuzzy control ♦ Fuzzy neural networks ♦ Chaos ♦ Trajectory ♦ Adaptive systems ♦ Approximation methods ♦ Fuzzy logic ♦ adaptive hybrid control ♦ Fractional order chaotic systems ♦ fuzzy neural network (FNN)
Abstract In this paper, an adaptive hybrid fuzzy neural network (FNN) controller is proposed to achieve prescribed tracking performance of fractional order chaotic systems. Based on the trade-off between plant knowledge and control knowledge, a weighting factor can be adjusted by combining the indirect adaptive FNN control effort and the direct FNN adaptive control effort. Nonlinear fractional order chaotic response system is fully illustrated to track the trajectory generated from fractional order chaotic drive system. The numerical results show that tracking error and control effort can be made smaller and the proposed hybrid intelligent control scheme is more flexible during the design process.
Description Author affiliation: Electrical and Communications, Engineering Feng-Chia University Taichung, Taiwan R.O.C. (Balas, V.E.) || Department of Automation and Applied Informatics, University of Arad, Arad Romania (Chia-Hao Kuo) || Department of Electronic Engineering Feng-Chia, University Taichung, Taiwan R.O.C. (Tsung-Chih Lin)
ISBN 9781424473151
ISSN 10987584
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-06-27
Publisher Place Taiwan
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424473175
Size (in Bytes) 445.93 kB
Page Count 7
Starting Page 2890
Ending Page 2896

Source: IEEE Xplore Digital Library