Generating chaos via feedback control from a stable TS fuzzy system through a sinusoidal nonlinearity

Zhong Li, Jin Bae Park, Guanrong Chen, Young Hoon Joo, Yoon Ho Choi

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)

Abstract

An approach is proposed for making chaotic a given stable Takagi-Sugeno (TS) fuzzy system using state feedback control of arbitrarily small magnitude. The feedback controller chosen among several candidates is a simple sinusoidal function of the system states, which can lead to uniformly bounded state vectors of the controlled system with positive Lyapunov exponents, and satisfy the chaotic mechanisms of stretching and folding, thereby yielding chaotic dynamics. This approach is mathematically proven for rigorous generation of chaos from a stable TS fuzzy system, where the chaos is in the sense of Li and Yorke. A numerical example is included to visualize the theoretical analysis and the controller design.

Original languageEnglish
Pages (from-to)2283-2291
Number of pages9
JournalInternational Journal of Bifurcation and Chaos in Applied Sciences and Engineering
Volume12
Issue number10
DOIs
Publication statusPublished - 2002 Oct

Bibliographical note

Funding Information:
∗This work was supported by the research project Brain Korea 21.

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Engineering (miscellaneous)
  • General
  • Applied Mathematics

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