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    ADVANCED TOPICS ON CELLULAR SELF-ORGANIZING NETS AND CHAOTIC NONLINEAR DYNAMICS TO MODEL AND CONTROL COMPLEX SYSTEMS

    edited by Riccardo Caponetto (University of Catania, Italy), Luigi Fortuna (University of Catania, Italy), & Mattia Frasca (University of Catania, Italy)

    Table of Contents (159k)
    Preface (41k)
    Chapter 1: The CNN Paradigm for Complexity (2,602k)

    This book focuses on the research topics investigated during the three-year research project funded by the Italian Ministero dell'Istruzione, dell'Università e della Ricerca (MIUR: Ministry of Education, University and Research) under the FIRB project RBNE01CW3M. With the aim of introducing newer perspectives of the research on complexity, the final results of the project are presented after a general introduction to the subject. The book is intended to provide researchers, PhD students, and people involved in research projects in companies with the basic fundamentals of complex systems and the advanced project results recently obtained.

     
    Contents:
    • The CNN Paradigm for Complexity
    • Emergent Phenomena in Neuroscience
    • Frequency Analysis and Identification in Atomic Force Microscopy
    • Control and Parameter Estimation of Systems with Low-Dimensional Chaos — The Role of Peak-to-Peak Dynamics
    • Synchronization of Complex Networks
    • Economic Sector Identification in a Set of Stocks Traded at the New York Exchange: A Comparative Analysis
    • Innovation Systems by Nonlinear Networks
     
    Readership: Advanced undergraduate and graduate students in electronic and automation engineering, physicists, engineers and non-experts interested in complex systems.
     
     
    200pp    Pub. date: Jun 2008  
    ISBN:   978-981-281-404-3
    981-281-404-3
       US$77 / £41

     


    200pp    Pub. date: Jun 2008  
    ISBN:   978-981-281-405-0(ebook)
    981-281-405-1(ebook)
       US$100

     


     

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