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Parameter identification based synchronization for a class of chaotic systems with offset vectors

Cailian Chen, Gang Feng, Xinping Guan

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    Based on a parameter identification scheme, a novel synchronization method is presented for a class of chaotic systems with offset vectors which can be represented by the so-called T-S fuzzy model. It is shown that the slave system can synchronize the master system and the unknown parameters of the master system can be identified simultaneously. The delayed feedback technique is also developed in order to reduce the energy and time required for the identification and synchronization. Numerical simulations demonstrate the effectiveness of the proposed method. © 2004 Elsevier B.V. All rights reserved.
    Original languageEnglish
    Pages (from-to)65-74
    JournalPhysics Letters, Section A: General, Atomic and Solid State Physics
    Volume330
    Issue number1-2
    DOIs
    Publication statusPublished - 13 Sept 2004

    Research Keywords

    • Delayed feedback technique
    • Identification
    • Synchronization

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