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Complex dynamical systems consisting interacting dynamical units are ubiquitous in nature and society. Predicting and reconstructing nonlinear dynamics of units and the complex interacting networks among them serves the base

Complex dynamical systems consisting interacting dynamical units are ubiquitous in nature and society. Predicting and reconstructing nonlinear dynamics of units and the complex interacting networks among them serves the base for the understanding of a variety of collective dynamical phenomena. I present a general method to address the two outstanding problems as a whole based solely on time-series measurements.

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    Date Created
    • 2012
    Resource Type
  • Text
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    • Partial requirement for: Ph.D., Arizona State University, 2012
      Note type
      thesis
    • Includes bibliographical references (p. 138-150)
      Note type
      bibliography
    • Field of study: Electrical engineering

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    by Rui Yang

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