Adaptive synchronization for unknown chaotic systems with fuzzy-neural network observer

Bing-Fei Wu; Li Shan Ma; Jau Woei Perng; Hung I. Chin; Tsu Tian Lee

doi:10.1109/ICEIS.2006.1703165

Adaptive synchronization for unknown chaotic systems with fuzzy-neural network observer

Bing-Fei Wu^*, Li Shan Ma, Jau Woei Perng, Hung I. Chin, Tsu Tian Lee

^*Corresponding author for this work

National Chiao Tung University

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

Abstract

This investigation applies the adaptive fuzzy-neural observer (AFNO) to synchronize a class of unknown chaotic systems via scalar transmitting signal only. The proposed method can be used in synchronization if nonlinear chaotic systems can be transformed into the canonical form of Lur'e system type by the differential geometric method. In proposed approach, the receiver states can be reconstructed from one transmitted state using AFNO design. The adaptive fuzzy-neural network (FNN) in AFNO is adopted to model the nonlinear term in the transmitter. Additionally, an observer is designed to estimate the other states of the master. Synchronization is achieved when all states are observed. The proposed scheme can adaptively estimated the transmitter states using AFNO, even if the transmitter changes into another chaotic system. Simulation results confirm that the proposed AFNO design is valid.

Original language	English
Title of host publication	IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
DOIs	https://doi.org/10.1109/ICEIS.2006.1703165
State	Published - 1 Dec 2006
Event	IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 - Islamabad, Pakistan Duration: 22 Apr 2006 → 23 Apr 2006

Publication series

Name	IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006

Conference

Conference	IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
Country	Pakistan
City	Islamabad
Period	22/04/06 → 23/04/06

Keywords

Adaptive
Adaptive fuzzy-neural observer (AFNO)
Chaos
Fuzzy-neural network (FNN)
Robust
Synchronization

Access to Document

10.1109/ICEIS.2006.1703165

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Cite this

Wu, B-F., Ma, L. S., Perng, J. W., Chin, H. I., & Lee, T. T. (2006). Adaptive synchronization for unknown chaotic systems with fuzzy-neural network observer. In IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 [1703165] (IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006). https://doi.org/10.1109/ICEIS.2006.1703165

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title = "Adaptive synchronization for unknown chaotic systems with fuzzy-neural network observer",

abstract = "This investigation applies the adaptive fuzzy-neural observer (AFNO) to synchronize a class of unknown chaotic systems via scalar transmitting signal only. The proposed method can be used in synchronization if nonlinear chaotic systems can be transformed into the canonical form of Lur'e system type by the differential geometric method. In proposed approach, the receiver states can be reconstructed from one transmitted state using AFNO design. The adaptive fuzzy-neural network (FNN) in AFNO is adopted to model the nonlinear term in the transmitter. Additionally, an observer is designed to estimate the other states of the master. Synchronization is achieved when all states are observed. The proposed scheme can adaptively estimated the transmitter states using AFNO, even if the transmitter changes into another chaotic system. Simulation results confirm that the proposed AFNO design is valid.",

keywords = "Adaptive, Adaptive fuzzy-neural observer (AFNO), Chaos, Fuzzy-neural network (FNN), Robust, Synchronization",

author = "Bing-Fei Wu and Ma, {Li Shan} and Perng, {Jau Woei} and Chin, {Hung I.} and Lee, {Tsu Tian}",

year = "2006",

month = dec,

day = "1",

doi = "10.1109/ICEIS.2006.1703165",

language = "English",

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series = "IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006",

booktitle = "IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006",

note = "null ; Conference date: 22-04-2006 Through 23-04-2006",

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Wu, B-F, Ma, LS, Perng, JW, Chin, HI & Lee, TT 2006, Adaptive synchronization for unknown chaotic systems with fuzzy-neural network observer. in IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006., 1703165, IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006, IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006, Islamabad, Pakistan, 22/04/06. https://doi.org/10.1109/ICEIS.2006.1703165

Adaptive synchronization for unknown chaotic systems with fuzzy-neural network observer. / Wu, Bing-Fei; Ma, Li Shan; Perng, Jau Woei; Chin, Hung I.; Lee, Tsu Tian.

IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006. 2006. 1703165 (IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006).

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

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T1 - Adaptive synchronization for unknown chaotic systems with fuzzy-neural network observer

AU - Wu, Bing-Fei

AU - Ma, Li Shan

AU - Perng, Jau Woei

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N2 - This investigation applies the adaptive fuzzy-neural observer (AFNO) to synchronize a class of unknown chaotic systems via scalar transmitting signal only. The proposed method can be used in synchronization if nonlinear chaotic systems can be transformed into the canonical form of Lur'e system type by the differential geometric method. In proposed approach, the receiver states can be reconstructed from one transmitted state using AFNO design. The adaptive fuzzy-neural network (FNN) in AFNO is adopted to model the nonlinear term in the transmitter. Additionally, an observer is designed to estimate the other states of the master. Synchronization is achieved when all states are observed. The proposed scheme can adaptively estimated the transmitter states using AFNO, even if the transmitter changes into another chaotic system. Simulation results confirm that the proposed AFNO design is valid.

AB - This investigation applies the adaptive fuzzy-neural observer (AFNO) to synchronize a class of unknown chaotic systems via scalar transmitting signal only. The proposed method can be used in synchronization if nonlinear chaotic systems can be transformed into the canonical form of Lur'e system type by the differential geometric method. In proposed approach, the receiver states can be reconstructed from one transmitted state using AFNO design. The adaptive fuzzy-neural network (FNN) in AFNO is adopted to model the nonlinear term in the transmitter. Additionally, an observer is designed to estimate the other states of the master. Synchronization is achieved when all states are observed. The proposed scheme can adaptively estimated the transmitter states using AFNO, even if the transmitter changes into another chaotic system. Simulation results confirm that the proposed AFNO design is valid.

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KW - Adaptive fuzzy-neural observer (AFNO)

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KW - Fuzzy-neural network (FNN)

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