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Recent Advances in Nonlinear Dynamics and Synchronization

Theory and Applications

  • Book
  • © 2009

Overview

  • Recent research on nonlinear Dynamics and Synchronization

Part of the book series: Studies in Computational Intelligence (SCI, volume 254)

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Table of contents (12 chapters)

  1. Theoretical Aspects and Recent Trends

  2. Some Modelling and Simulation Examples

  3. Applications in Transportation

  4. Applications in Security Related System Concepts

  5. Further Application Areas - Pattern Recognition and Communications Engineering

Keywords

About this book

In essence, the dynamics of real world systems (i.e. engineered systems, natural systems, social systesms, etc.) is nonlinear. The analysis of this nonlinear character is generally performed through both observational and modeling processes aiming at deriving appropriate models (mathematical, logical, graphical, etc.) to simulate or mimic the spatiotemporal dynamics of the given systems. The complex intrinsic nature of these systems (i.e. nonlinearity and spatiotemporal dynamics) can lead to striking dynamical behaviors such as regular or irregular, stable or unstable, periodicity or multi-periodicity, torus or chaotic dynamics. The various potential applications of the knowledge about such dynamics in technical sciences (engineering) are being intensively demonstrated by diverse ongoing research activities worldwide. However, both the modeling and the control of the nonlinear dynamics in a range of systems is still not yet well-understood (e.g. system models with time varying coefficients, immune systems, swarm intelligent systems, chaotic and fractal systems, stochastic systems, self-organized systems, etc.). This is due amongst others to the challenging task of establishing a precise and systematic fundamental or theoretical framework (e.g. methods and tools) to analyze, understand, explain and predict the nonlinear dynamical behavior of these systems, in some cases even in real-time. The full insight in systems’ nonlinear dynamic behavior is generally achieved through approaches involving analytical, numerical and/or experimental methods.

Editors and Affiliations

  • Institute for Smart-Systems Technologies, Alpen-Adria Universität Klagenfurt , Klagenfurt, Austria

    Kyandoghere Kyamakya, Jean Chamberlain Chedjou

  • Lehrgebiet Informationstechnik, FernUniversität in Hagen , Hagen, Germany

    Wolfgang A. Halang, Zhong Li

  • Lehrgebiet Kommunikationsnetze, FernUniversität in Hagen , Hagen, Germany

    Herwig Unger

  • Institute for Nonlinear Science, University of California, San Diego , La Jolla, USA

    Nikolai F. Rulkov

Bibliographic Information

  • Book Title: Recent Advances in Nonlinear Dynamics and Synchronization

  • Book Subtitle: Theory and Applications

  • Editors: Kyandoghere Kyamakya, Wolfgang A. Halang, Herwig Unger, Jean Chamberlain Chedjou, Nikolai F. Rulkov, Zhong Li

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-04227-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2009

  • Hardcover ISBN: 978-3-642-04226-3Published: 28 September 2009

  • Softcover ISBN: 978-3-642-26057-5Published: 14 March 2012

  • eBook ISBN: 978-3-642-04227-0Published: 30 September 2009

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XII, 399

  • Topics: Computational Intelligence, Artificial Intelligence

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