Adaptive synchronization of chaotic systems via t-s fuzzy Model

Zhang Lin Wan, Yi You Hou, Jun Juh Yan, Teh-Lu Liao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper is concerned with the adaptive synchronization problem of chaotic systems with time delay. The Takagi and Sugeno (T-S) fuzzy model is utilized to represent the chaotic systems. Based on parallel distributed compensation (PDC) scheme and Lyapunov stability theorem, an adaptive controller is proposed to synchronize the master-slave chaotic systems. Numerical simulations are given to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationSMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications
Pages313-317
Number of pages5
DOIs
Publication statusPublished - 2008
Event2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08 - Muroran, Japan
Duration: 2008 Jun 252008 Jun 27

Other

Other2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08
CountryJapan
CityMuroran
Period08-06-2508-06-27

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software
  • Industrial and Manufacturing Engineering

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