Fuzzy adaptive synchronization of time-reversed chaotic systems via a new adaptive control strategy

Shih Yu Li*, Cheng Hsiung Yang, Shi An Chen, Li-Wei Ko, Chin Teng Lin

*Corresponding author for this work

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

A novel adaptive control strategy is proposed herein to increase the efficiency of adaptive control by combining Takagi-Sugeno (T-S) fuzzy modeling and the Ge-Yao-Chen (GYC) partial region stability theory. This approach provides two major contributions: (1) increased synchronization efficiency, especially for parameters tracing and (2) a simpler controller design. Two simulated cases are presented for comparison: Case 1 utilizes normal adaptive synchronization, whereas Case 2 utilizes the Takagi-Sugeno (T-S) fuzzy model-based Lorenz systems to realize adaptive synchronization via the new adaptive scheme. The simulation results demonstrate the effectiveness and feasibility of our new adaptive strategy.

Original languageEnglish
Pages (from-to)486-500
Number of pages15
JournalInformation sciences
Volume222
DOIs
StatePublished - 10 Feb 2013

Keywords

  • Fuzzy
  • GYC
  • P-N parameter
  • Pragmatical
  • Time-reversed system

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