Fuzzy chaos synchronization via sampled driving signals

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

30 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)2721-2733
Journal / PublicationInternational Journal of Bifurcation and Chaos in Applied Sciences and Engineering
Volume14
Issue number8
Publication statusPublished - Aug 2004

Abstract

In this paper, a methodology to design a system that robustly synchronizes a master chaotic system from a sampled driving signal is developed. The method is based on the fuzzy Takagi-Sugeno representation of chaotic systems, from which a continuous-time fuzzy observer is designed as the solution of an LMI minimization problem such that the error dynamics have H∞ disturbance attenuation performance. Then, from the dual-system approach, the fuzzy observer is digitally redesigned such that the performance is maintained for the sampled master system. The effectiveness of the proposed synchronization methodology is finally illustrated via numerical simulations of the chaotic Chen's system.

Research Area(s)

  • Chaos synchronization, Digital redesign, LMI, Robust fuzzy observer, Sampled-data system