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IDENTIFICATION OF COMPLEX PROCESSES BASED ON ANALYSIS OF PHASE SPACE STRUCTURES

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Book cover Imaging for Detection and Identification

Part of the book series: NATO Security through Science Series ((NASTB))

Abstract

The problem of investigation of temporal and/or spatial behavior of highly nonlinear or complex natural systems has long been of fundamental scientific interest. At the same time it is presently well understood that identification of dynamics of processes in complex natural systems, through their qualitative description and quantitative evaluation, is far from a purely academic question and has an essential practical importance. This is quite understandable as systems with complex dynamics abound in nature and examples can be found in very different areas such as medicine and biology (rhythms, physiological cycles, epidemics), atmosphere (climate and weather change), geophysics (tides, earthquakes, volcanoes, magnetic field variations), economy (financial markets behavior, exchange rates), engineering (friction, fracturing), communication (electronic networks, internet packet dynamics) etc. The past two decades of research on qualitative and especially quantitative investigations of dynamics of real processes of different origin brought significant progress in the understanding of behavior of natural processes. At the same time serious drawbacks have also been revealed.

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Authors and Affiliations

  1. Institute of Geophysics, 1 Alexidze str., Tbilisi, 0193, Georgia

    Teimuraz Matcharashvili & Tamaz Chelidze

  2. Georgian Technical University, 77 Kostava ave., Tbilisi, 0193, Georgia

    Teimuraz Matcharashvili

  3. Institute of Cardiology, 2 Gudamakari str., Tbilisi, 0141, Georgia

    Manana Janiashvili

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  1. Teimuraz Matcharashvili
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  1. Prometheus Inc., Newport, USA

    Jim Byrnes

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Matcharashvili, T., Chelidze, T., Janiashvili, M. (2007). IDENTIFICATION OF COMPLEX PROCESSES BASED ON ANALYSIS OF PHASE SPACE STRUCTURES. In: Byrnes, J. (eds) Imaging for Detection and Identification. NATO Security through Science Series. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5620-8_11

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