Scientific and Technical Journal

ELECTROTECHNIC AND COMPUTER SYSTEMS

ISSN Print 2221-3937
ISSN Online 2221-3805
IDENTIFICATION OF NONLINEAR DYNAMICAL SYSTEMS USING VOLTERRA MODEL WITH INTERPOLATION METHOD IN FREQUENCY DOMAIN
Abstract:
The new method of nonlinear dynamical systems identification based on Volterra model is offered. This method lies in n-order differentiation of the responses of the system being identified with the amplitude of test polyharmonic signals as a main parameter. The developed hardware and software tools are used for constructing of telecommunication channel informational model as amplitude-frequency characteristics of the first and second order
Authors:
Keywords
DOI
References
  1. GiannakisG.B., SerpedinE. A bibliography on nonlinear system identification and its applications in signal processing, communications and biomedical engineering. Signal Processing – EURASIP, Elsevier Science B.V., 81(3), 2001, p. 533–580.
  2. Westwick D.T. Methods for the Identification of Multiple–Input Nonlinear Systems, Departments of Electrical Engineering and Biomedical Engineering, McGill University, Montreal, Quebec, Canada, 1995.
  3. Doyle F.J, Pearson R.K., Ogunnaike B.A. Identification and Control Using Volterra Models. Published Springer Technology & Industrial Arts, p. 314, 2001.
  4. Boyd S., Jang Y.S., Chua L.O. Measuring Volterra Kernels. IEEE Trans. on Circuits and Systems,” Vol. CAS-30, No.8, 1983, p.571–578.
  5. Peddanarappagari K.V., Brandt-Pearce M. Volterra Series Approach for Optimizing Fiber–Optic Communications System Designs. J. Lightwave Tech., 16 (11), 1998, p. 2046–2055.
  6. Chang K.F., Binh L.N., Cambrell G.K., K.P. Dabke. “Nonlinear frequency domain modeling of optical fibre transmission systems by Volterra series”. IOOC/OECC Conference, Sydney, July 2001, p. 360–362.
  7. Schetzen M. The Volterra and Wiener Theories of Nonlinear Systems. Wiley & Sons, New York., p. 531, 1980
  8. Pavlenko V.D., Issa S.I.M., “The Limitation of the choice frequencies test polyharmonic signals for the identification nonlinear system”. Proceedings of Odessa Polytechnic University, Ukraine, 1 (31), 2008, pp. 107–113.
  9. Goswami J.G., Chan A.K. Fundamentals of Wavelets: Theory, Algorithms, and Applications. Publishing John Wiley & Sons, Inc., 1999.
  10. Danilov L.V., Mathanov P.N., Philipov E.S. The theory of nonlinear electrical circuits. Published Energoatomizdat, Leningrad, p. 256, 1990.
  11. Pavlenko V.D., Speranskyy V.O. “Communication Channel Identification in Frequency Domain Based on the Volterra Model”. Proceedings of the International Conference on Computers, Barcelona, Spain, September 15-17, 2011. Published by WSEAS Press, 2011, pp. 218–222.
Published:
Last download:
2017-11-23 17:06:02

[ © KarelWintersky ] [ All articles ] [ All authors ]
[ © Odessa National Polytechnic University, 2014. Any use of information from the site is possible only under the condition that the source link! ]
Яндекс.Метрика