On the use of directed transfer function for nonlinear systems

Balaji Veeramani, Narayanan Krishnamurthi, Awadhesh Prasad, Andreas Spanias, L. D. Iasemidis

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

3 Scopus citations

Abstract

In this paper we investigate the relevance of the directed transfer function (DTF) method to the detection of the direction of information flow between coupled chaotic systems. This particular class of nonlinear systems is of interest in many areas of science and engineering. DTF takes a linear multi-channel modeling approach. It is shown that in the case of coupled nonlinear systems the DTF analysis is sensitive to the sampling step size. A scheme is proposed for choosing the sampling step in order to improve the results of the DTP analysis for nonlinear systems.

Original languageEnglish (US)
Title of host publicationProceedings of the IASTED International Conference on Modelling and Simulation
EditorsM.H. Hamza, M.H. Hamza
Pages270-274
Number of pages5
StatePublished - Dec 1 2003
EventProceedings of the IASTED International Conference on Modelling and Simulation - Palm Springs, CA, United States
Duration: Feb 24 2003Feb 26 2003

Publication series

NameProceedings of the IASTED International Conference on Modelling and Simulation

Other

OtherProceedings of the IASTED International Conference on Modelling and Simulation
CountryUnited States
CityPalm Springs, CA
Period2/24/032/26/03

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Keywords

  • AR modeling
  • Directed transfer function
  • Mathematical modeling
  • Mutual information
  • Nonlinear systems

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

Cite this

Veeramani, B., Krishnamurthi, N., Prasad, A., Spanias, A., & Iasemidis, L. D. (2003). On the use of directed transfer function for nonlinear systems. In M. H. Hamza, & M. H. Hamza (Eds.), Proceedings of the IASTED International Conference on Modelling and Simulation (pp. 270-274). (Proceedings of the IASTED International Conference on Modelling and Simulation).