• DocumentCode
    341377
  • Title

    Statistical analysis and design of chaotic switched dynamical systems

  • Author

    Baranovski, A.L. ; Schwarz, W. ; Mögel, A.

  • Author_Institution
    Inst. of Fundamentals of Electr. Eng. & Electron., Tech. Univ. Dresden, Germany
  • Volume
    5
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    467
  • Abstract
    The generation of continuous-time signals with prescribed statistical characteristics (probability density function and spectral power density) is usually solved by filtering a natural noise process or a binary shift register sequence. Here an alternative method is presented. It uses continuous-discrete systems with chaotic behaviour. This system class allows us to calculate the PDF and the PDS of the output signal from given system parameters. The results can be used in order to solve the inverse problem: generator design by determining the system parameters from given signal characteristics. Both problems are treated in general and solved for a class of linear systems with switched feedback. Analysis and design examples are given
  • Keywords
    chaos generators; circuit feedback; continuous time systems; inverse problems; state feedback; statistical analysis; switched networks; chaotic behaviour; chaotic switched dynamical systems; continuous-discrete systems; continuous-time signal generation; inverse problem; linear systems; prescribed statistical characteristics; probability density function; spectral power density; statistical analysis; switched feedback; Chaos; Character generation; Filtering; Noise generators; Power generation; Probability density function; Shift registers; Signal generators; Signal processing; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-5471-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1999.777610
  • Filename
    777610