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    CELLULAR NEURAL NETWORKS, MULTI-SCROLL CHAOS AND SYNCHRONIZATION

    by Müştak E Yalçın (Katholieke Universiteit Leuven, Belgium) , Johan A K Suykens (Katholieke Universiteit Leuven, Belgium) , & Joos P L Vandewalle (Katholieke Universiteit Leuven, Belgium)

    Table of Contents (98k)
    Preface (132k)
    Chapter 1: Introduction (459k)

    For engineering applications that are based on nonlinear phenomena, novel information processing systems require new methodologies and design principles. This perspective is the basis of the three cornerstones of this book: cellular neural networks, chaos and synchronization. Cellular neural networks and their universal machine implementations offer a well-established platform for processing spatial-temporal patterns and wave computing. Multi-scroll circuits are generalizations to the original Chua's circuit, leading to chip implementable circuits with increasingly complex attractors. Several applications make use of synchronization techniques for nonlinear systems. A systematic overview is given for Lur'e representable systems with global synchronization criteria for master-slave and mutual synchronization, robust synchronization, H∞ synchronization, time-delayed systems and impulsive synchronization.

    Further information, links and publications related to this book is available at http://www.esat.kuleuven.ac.be/sista/chaoslab/.

     
    Contents:
    • Cellular Neural/Nonlinear Networks
    • Multi-Scroll Chaotic and Hyperchaotic Attractors
    • Synchronization of Chaotic Lur'e Systems
    • Engineering Applications
     
    Readership: Graduate students, researchers, practitioners and academics in electrical engineering and nonlinear science.
     
    “This volume is completed by a representative list of references (332 items) and by an index.”
    Zentralblatt MATH

     
    248pp    Pub. date: Feb 2005  
    ISBN:   978-981-256-161-9
    981-256-161-7
       US$87 / £52

     


    248pp    Pub. date: Feb 2005  
    ISBN:   978-981-256-774-1(ebook)
    981-256-774-7(ebook)
       US$104 / £64

     


     

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