Measuring information flow in nonlinear systems - A modeling approach in the state space

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

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Directional information flow between coupled nonlinear systems is of practical interest in many areas like bioengineering, chemistry, physics and electrical engineering. Due to the high complexity and nonlinearity of the coupled chaotic systems, linear modeling approaches may fail to capture the proper dynamics and thus the proper directional information flow. This necessitates novel approaches to analyze signals derived from such systems. This paper proposes a novel approach for detecting such directional information flows between the subsystems involved. The dependability of the method is illustrated using coupled chaotic oscillators in various coupling configurations.

Original languageEnglish (US)
Pages (from-to)65-70
Number of pages6
JournalBiomedical Sciences Instrumentation
StatePublished - 2003


  • AR Modeling
  • Coupled nonlinear systems
  • Directional Information flow
  • Method of delays
  • State space

ASJC Scopus subject areas

  • Biophysics
  • Medical Laboratory Technology


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