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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
DOIs
StatePublished - 1 Dec 2006
EventIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 - Islamabad, Pakistan
Duration: 22 Apr 200623 Apr 2006

Publication series

NameIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006

Conference

ConferenceIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
CountryPakistan
CityIslamabad
Period22/04/0623/04/06

Keywords

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

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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