Adaptive - Synchronization of Fractional-Order Chaotic Systems with Nonidentical Structures

This paper investigates the adaptive - synchronization of the fractional-order chaotic systems with nonidentical structures. Based on the stability of fractional-order systems and adaptive control technique, a general formula for designing the controller and parameters update law is proposed to achi...

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Main Authors: Li-xin Yang, Wan-sheng He
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2013/367506
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author Li-xin Yang
Wan-sheng He
author_facet Li-xin Yang
Wan-sheng He
author_sort Li-xin Yang
collection DOAJ
description This paper investigates the adaptive - synchronization of the fractional-order chaotic systems with nonidentical structures. Based on the stability of fractional-order systems and adaptive control technique, a general formula for designing the controller and parameters update law is proposed to achieve adaptive - synchronization between two different chaotic systems with different structures. The effective scheme parameters identification and - synchronization of chaotic systems can be realized simultaneously. Furthermore, two typical illustrative numerical simulations are given to demonstrate the effectiveness of the proposed scheme, for each case, we design the controller and parameter update laws in detail. The numerical simulations are performed to verify the effectiveness of the theoretical results.
format Article
id doaj-art-d13535a119f94ff1b205d05b31b9e88a
institution Kabale University
issn 1085-3375
1687-0409
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Abstract and Applied Analysis
spelling doaj-art-d13535a119f94ff1b205d05b31b9e88a2025-02-03T05:50:56ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/367506367506Adaptive - Synchronization of Fractional-Order Chaotic Systems with Nonidentical StructuresLi-xin Yang0Wan-sheng He1School of Mathematic and Statistics, Tianshui Normal University, Tianshui 741001, ChinaSchool of Mathematic and Statistics, Tianshui Normal University, Tianshui 741001, ChinaThis paper investigates the adaptive - synchronization of the fractional-order chaotic systems with nonidentical structures. Based on the stability of fractional-order systems and adaptive control technique, a general formula for designing the controller and parameters update law is proposed to achieve adaptive - synchronization between two different chaotic systems with different structures. The effective scheme parameters identification and - synchronization of chaotic systems can be realized simultaneously. Furthermore, two typical illustrative numerical simulations are given to demonstrate the effectiveness of the proposed scheme, for each case, we design the controller and parameter update laws in detail. The numerical simulations are performed to verify the effectiveness of the theoretical results.http://dx.doi.org/10.1155/2013/367506
spellingShingle Li-xin Yang
Wan-sheng He
Adaptive - Synchronization of Fractional-Order Chaotic Systems with Nonidentical Structures
Abstract and Applied Analysis
title Adaptive - Synchronization of Fractional-Order Chaotic Systems with Nonidentical Structures
title_full Adaptive - Synchronization of Fractional-Order Chaotic Systems with Nonidentical Structures
title_fullStr Adaptive - Synchronization of Fractional-Order Chaotic Systems with Nonidentical Structures
title_full_unstemmed Adaptive - Synchronization of Fractional-Order Chaotic Systems with Nonidentical Structures
title_short Adaptive - Synchronization of Fractional-Order Chaotic Systems with Nonidentical Structures
title_sort adaptive synchronization of fractional order chaotic systems with nonidentical structures
url http://dx.doi.org/10.1155/2013/367506
work_keys_str_mv AT lixinyang adaptivesynchronizationoffractionalorderchaoticsystemswithnonidenticalstructures
AT wanshenghe adaptivesynchronizationoffractionalorderchaoticsystemswithnonidenticalstructures