Adaptive synchronization of uncertain chaotic systems based on T-S fuzzy model

Jae Hun Kim, Chang Ho Hyun, Euntai Kim, Mignon Park

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)


This paper presents an adaptive approach for synchronization of Takagi-Sugeno (T-S) fuzzy chaotic systems. T-S fuzzy model can represent a general class of nonlinear system and we employ it for fuzzy modeling of the chaotic drive system. Since the output of the drive system is only available for synchronization, the response system is designed based on fuzzy adaptive observer for uncertain parameters and parameter mismatch cases. We analyze the stability of the overall fuzzy synchronization system by applying Lyapunov stability theory and derive stability conditions by solving linear matrix inequalities (LMIs) problem. The adaptive law is derived to estimate the uncertain parameters or parameter mismatch. Numerical examples are given to demonstrate the validity of the proposed fuzzy adaptive synchronization approach.

Original languageEnglish
Pages (from-to)359-369
Number of pages11
JournalIEEE Transactions on Fuzzy Systems
Issue number3
Publication statusPublished - 2007 Jun

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics


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