Chaotic Motions in the Real Fuzzy Electronic Circuits

Abstract

In this paper, Fuzzy Electronic Circuit (FEC) is firstly introduced, which is implementing Takagi-Sugeno (T-S) fuzzy chaotic systems on electronic circuit. In the research field of secure communications, the original source should be blended with other complex signals. Chaotic signals are one of the good sources to be applied to encrypt high confidential signals, because of its high complexity, sensitiveness of initial conditions and unpredictability. Consequently, generating chaotic signals on electronic circuit to produce real electrical signals applied to secure communications are an exceeding important issue. However, nonlinear systems are always composed of many complex equations and are hard to realize on electronic circuits. Takagi-Sugeno (T-S) fuzzy model is a powerful tool, which is described by fuzzy IF-THEN rules to express the local dynamics of each fuzzy rule by a linear system model. Accordingly, in this paper, we produce the chaotic signals via electronic circuits through T-S fuzzy model and the numerical simulation results provided by MATLAB are also proposed for comparison. T-S fuzzy chaotic Lorenz and Chen-Lee systems are used for examples and are given to demonstrate the effectiveness of the proposed electronic circuit.

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Document Details

Document Type
Technical Report
Publication Date
Dec 30, 2012
Accession Number
ADA574546

Entities

People

  • Cheng-hsiung Yang
  • Chin-Teng Lin
  • Li-Wei Ko
  • Shih-Yu Li
  • Tien-ting Chiu

Organizations

  • National Chiao Tung University

Tags

DTIC Thesaurus Topics

  • Biological Sciences
  • Computer Simulations
  • Control Systems
  • Control Systems Engineering
  • Dynamics
  • Electronic Circuits
  • Engineering
  • Equations
  • Fuzzy Logic
  • Fuzzy Sets
  • Linear Systems
  • Nonlinear Dynamics
  • Nonlinear Systems
  • Secure Communications
  • Set Theory
  • Simulations
  • Systems Engineering

Fields of Study

  • Engineering

Readers

  • Radio communications and signal processing.
  • Robotics and Automation.
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • Microelectronics