Impulsive synchronization of chaotic systems via linear matrix inequality approach

Cheng Feng Chu; Jui Sheng Lin; Meei Ling Hung; Teh Lu Liao; Yi You Hou

doi:10.1109/ICNSC.2009.4919251

Impulsive synchronization of chaotic systems via linear matrix inequality approach

Cheng Feng Chu, Jui Sheng Lin, Meei Ling Hung, Teh Lu Liao, Yi You Hou

Department of Engineering Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The aim of this paper is to propose an impulsive controller which is to guarantee the asymptotic synchronization of the master and slave chaotic systems. The impulsive controller is derived on the basis of the Lyapunov theory and the linear matrix inequlity (LMI) technique. A numerical example is given to demonstrate the effectiveness of the main results.

Original language	English
Title of host publication	Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
Pages	87-90
Number of pages	4
DOIs	https://doi.org/10.1109/ICNSC.2009.4919251
Publication status	Published - 2009 Sept 21
Event	2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 - Okayama, Japan Duration: 2009 Mar 26 → 2009 Mar 29

Publication series

Name	Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009

Other

Other	2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
Country/Territory	Japan
City	Okayama
Period	09-03-26 → 09-03-29

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering

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10.1109/ICNSC.2009.4919251

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Chu, C. F., Lin, J. S., Hung, M. L., Liao, T. L., & Hou, Y. Y. (2009). Impulsive synchronization of chaotic systems via linear matrix inequality approach. In Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 (pp. 87-90). Article 4919251 (Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009). https://doi.org/10.1109/ICNSC.2009.4919251

@inproceedings{ab75f6e5616f4975aea635d7621ad31a,

title = "Impulsive synchronization of chaotic systems via linear matrix inequality approach",

abstract = "The aim of this paper is to propose an impulsive controller which is to guarantee the asymptotic synchronization of the master and slave chaotic systems. The impulsive controller is derived on the basis of the Lyapunov theory and the linear matrix inequlity (LMI) technique. A numerical example is given to demonstrate the effectiveness of the main results.",

author = "Chu, {Cheng Feng} and Lin, {Jui Sheng} and Hung, {Meei Ling} and Liao, {Teh Lu} and Hou, {Yi You}",

year = "2009",

month = sep,

day = "21",

doi = "10.1109/ICNSC.2009.4919251",

language = "English",

isbn = "9781424434923",

series = "Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009",

pages = "87--90",

booktitle = "Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009",

note = "2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 ; Conference date: 26-03-2009 Through 29-03-2009",

}

Chu, CF, Lin, JS, Hung, ML, Liao, TL & Hou, YY 2009, Impulsive synchronization of chaotic systems via linear matrix inequality approach. in Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009., 4919251, Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009, pp. 87-90, 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009, Okayama, Japan, 09-03-26. https://doi.org/10.1109/ICNSC.2009.4919251

Impulsive synchronization of chaotic systems via linear matrix inequality approach. / Chu, Cheng Feng; Lin, Jui Sheng; Hung, Meei Ling et al.
Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009. 2009. p. 87-90 4919251 (Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Impulsive synchronization of chaotic systems via linear matrix inequality approach

AU - Chu, Cheng Feng

AU - Lin, Jui Sheng

AU - Hung, Meei Ling

AU - Liao, Teh Lu

AU - Hou, Yi You

PY - 2009/9/21

Y1 - 2009/9/21

N2 - The aim of this paper is to propose an impulsive controller which is to guarantee the asymptotic synchronization of the master and slave chaotic systems. The impulsive controller is derived on the basis of the Lyapunov theory and the linear matrix inequlity (LMI) technique. A numerical example is given to demonstrate the effectiveness of the main results.

AB - The aim of this paper is to propose an impulsive controller which is to guarantee the asymptotic synchronization of the master and slave chaotic systems. The impulsive controller is derived on the basis of the Lyapunov theory and the linear matrix inequlity (LMI) technique. A numerical example is given to demonstrate the effectiveness of the main results.

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U2 - 10.1109/ICNSC.2009.4919251

DO - 10.1109/ICNSC.2009.4919251

M3 - Conference contribution

AN - SCOPUS:70349138867

SN - 9781424434923

T3 - Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009

SP - 87

EP - 90

BT - Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009

T2 - 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009

Y2 - 26 March 2009 through 29 March 2009

ER -

Chu CF, Lin JS, Hung ML, Liao TL, Hou YY. Impulsive synchronization of chaotic systems via linear matrix inequality approach. In Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009. 2009. p. 87-90. 4919251. (Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009). doi: 10.1109/ICNSC.2009.4919251

Impulsive synchronization of chaotic systems via linear matrix inequality approach

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