Please use this identifier to cite or link to this item:
Title: Composite adaptive fuzzy control for synchronizing generalized Lorenz systems
Authors: Pan, Yongping
Er, Meng Joo
Sun, Tairen
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Pan, Y., Er, M. J., & Sun, T. (2012). Composite Adaptive Fuzzy Control for Synchronizing Generalized Lorenz Systems. Chaos, 22(2), 023144-.
Series/Report no.: Chaos
Abstract: This paper presents a methodology of asymptotically synchronizing two uncertain generalized Lorenz systems via a single continuous composite adaptive fuzzy controller (AFC). To facilitate controller design, the synchronization problem is transformed into the stabilization problem by feedback linearization. To achieve asymptotic tracking performance, a key property of the optimal fuzzy approximation error is exploited by the Mean Value Theorem. The composite AFC, which utilizes both tracking and modeling error feedbacks, is constructed by introducing a series-parallel identification model into an indirect AFC. It is proved that the closed-loop system achieves asymptotic stability under a sufficient gain condition. Furthermore, the proposed approach cannot only synchronize two different chaotic systems but also significantly reduce computational complexity and implemented cost. Simulation studies further demonstrate the effectiveness of the proposed approach.
ISSN: 1054-1500
DOI: 10.1063/1.4721901
Rights: © 2012 American Institute of Physics. This paper was published in Chaos and is made available as an electronic reprint (preprint) with permission of American Institute of Physics. The paper can be found at the following official URL: [].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

Files in This Item:
File Description SizeFormat 
Composite adaptive fuzzy control.pdf1.56 MBAdobe PDFThumbnail


Updated on Jul 16, 2020


Updated on Jan 20, 2021

Page view(s)

Updated on Jan 20, 2021

Download(s) 5

Updated on Jan 20, 2021

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.