Master-slave chaos synchronization of uncertain nonlinear gyros using wavelet neural network

Chien Jung Chiu; Chun Fei Hsu; Tsu Tian Lee; Jang Zern Tsai

doi:10.1007/978-3-642-12990-2_75

Master-slave chaos synchronization of uncertain nonlinear gyros using wavelet neural network

Chien Jung Chiu, Chun Fei Hsu, Tsu Tian Lee, Jang Zern Tsai

Department of Electrical Engineering

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

Abstract

In this paper, an adaptive wavelet neural network controller (AWNNC) is proposed to synchronize two nonlinear identical chaotic gyros. The proposed AWNNC system is composed of a neural controller and a compensation controller. The neural controller uses a wavelet neural network to online approximate an ideal controller, and the compensation controller is used to guarantee system stable based on Lyapunov function candidate. Some simulation results verify the chaotic behavior of two nonlinear identical chaotic gyros can be synchronized by the proposed AWNNC scheme.

Original language	English
Title of host publication	Advances in Neural Network Research and Applications
Pages	647-654
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-12990-2_75
State	Published - 2010
Event	7th International Symposium on Neural Networks, ISNN 2010 - Shanghai, China Duration: 6 Jun 2010 → 9 Jun 2010

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	67 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	7th International Symposium on Neural Networks, ISNN 2010
Country/Territory	China
City	Shanghai
Period	6/06/10 → 9/06/10

Keywords

Adaptive control
Chaos synchronization
Lyapunov function
Sliding-mode control
Wavelet neural network

Access to Document

10.1007/978-3-642-12990-2_75

Cite this

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title = "Master-slave chaos synchronization of uncertain nonlinear gyros using wavelet neural network",

abstract = "In this paper, an adaptive wavelet neural network controller (AWNNC) is proposed to synchronize two nonlinear identical chaotic gyros. The proposed AWNNC system is composed of a neural controller and a compensation controller. The neural controller uses a wavelet neural network to online approximate an ideal controller, and the compensation controller is used to guarantee system stable based on Lyapunov function candidate. Some simulation results verify the chaotic behavior of two nonlinear identical chaotic gyros can be synchronized by the proposed AWNNC scheme.",

keywords = "Adaptive control, Chaos synchronization, Lyapunov function, Sliding-mode control, Wavelet neural network",

author = "Chiu, {Chien Jung} and Hsu, {Chun Fei} and Lee, {Tsu Tian} and Tsai, {Jang Zern}",

year = "2010",

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Chiu, CJ, Hsu, CF, Lee, TT & Tsai, JZ 2010, Master-slave chaos synchronization of uncertain nonlinear gyros using wavelet neural network. in Advances in Neural Network Research and Applications. Lecture Notes in Electrical Engineering, vol. 67 LNEE, pp. 647-654, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, 6/06/10. https://doi.org/10.1007/978-3-642-12990-2_75

Master-slave chaos synchronization of uncertain nonlinear gyros using wavelet neural network. / Chiu, Chien Jung; Hsu, Chun Fei; Lee, Tsu Tian et al.
Advances in Neural Network Research and Applications. 2010. p. 647-654 (Lecture Notes in Electrical Engineering; Vol. 67 LNEE).

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

TY - GEN

T1 - Master-slave chaos synchronization of uncertain nonlinear gyros using wavelet neural network

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AU - Hsu, Chun Fei

AU - Lee, Tsu Tian

AU - Tsai, Jang Zern

PY - 2010

Y1 - 2010

N2 - In this paper, an adaptive wavelet neural network controller (AWNNC) is proposed to synchronize two nonlinear identical chaotic gyros. The proposed AWNNC system is composed of a neural controller and a compensation controller. The neural controller uses a wavelet neural network to online approximate an ideal controller, and the compensation controller is used to guarantee system stable based on Lyapunov function candidate. Some simulation results verify the chaotic behavior of two nonlinear identical chaotic gyros can be synchronized by the proposed AWNNC scheme.

AB - In this paper, an adaptive wavelet neural network controller (AWNNC) is proposed to synchronize two nonlinear identical chaotic gyros. The proposed AWNNC system is composed of a neural controller and a compensation controller. The neural controller uses a wavelet neural network to online approximate an ideal controller, and the compensation controller is used to guarantee system stable based on Lyapunov function candidate. Some simulation results verify the chaotic behavior of two nonlinear identical chaotic gyros can be synchronized by the proposed AWNNC scheme.

KW - Adaptive control

KW - Chaos synchronization

KW - Lyapunov function

KW - Sliding-mode control

KW - Wavelet neural network

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Y2 - 6 June 2010 through 9 June 2010

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Master-slave chaos synchronization of uncertain nonlinear gyros using wavelet neural network

Abstract

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Keywords

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