Intelligent Computing Based on Chaos

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Chaos is a fascinating phenomenon that has been observed in nature, laboratory, and has been applied in various real-world applications. Chaotic systems are deterministic with no random elements involved yet their behavior appears to be random. Observations of chaotic behavior in nature include weather and climate, the dynamics of satellites in the solar system, the time evolution of the magnetic field of celestial bodies, population growth in ecology, to mention only a few examples. Chaos has been observed in the laboratory in a number of systems such as electrical circuits, lasers, chemical reactions, fluid dynamics, mechanical systems, and magneto-mechanical devices. Chaotic behavior has also found numerous applications in electrical and communication engineering, information and communication technologies, biology and medicine.

The book project was launched to access the latest research related to chaos applications in intelligent computing where researchers from all over the world provide the necessary coverage of the mentioned field. The primary objective of this project was to assemble as much research coverage as possible related to the field by defining the latest innovative technologies and providing the most comprehensive list of research references. The coverage of this book provides strength to this reference resource for both researchers and also decision makers in obtaining a greater understanding of the concepts, issues, problems, trends, challenges and opportunities related to this field of study.

Author(s): Warwick Tucker (auth.), Ljupco Kocarev, Zbigniew Galias, Shiguo Lian (eds.)
Series: Studies in Computational Intelligence 184
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009

Language: English
Commentary: 53870
Pages: 380
Tags: Appl.Mathematics/Computational Methods of Engineering; Complexity; Artificial Intelligence (incl. Robotics)

Front Matter....Pages -
Fundamentals of Chaos....Pages 1-23
Computational Methods for Rigorous Analysis of Chaotic Systems....Pages 25-51
Fundamentals of Fractal Sets, Space-Filling Curves and Their Applications in Electronics and Communications....Pages 53-72
Fractal Based Image Indexing and Retrieval....Pages 73-92
Fractal Indexing in Multimodal Biometric Contexts....Pages 93-120
Chaotic Communications with Autocorrelation Receiver: Modeling, Theory and Performance Limits....Pages 121-143
Implementation of Low EMI Spread Spectrum Clock Generators Exploiting a Chaos-Based Jitter....Pages 145-171
Circuits and Systems for the Synthesis of Chaotic Signals in Engineering Applications....Pages 173-196
Chaos and Swarm Intelligence....Pages 197-212
A Model of Chaotic Neural Networks and Its Applications to Parallel Distributed Processing....Pages 213-225
Synchronization and Control Based Parameter Identification....Pages 227-249
Formation of Self-similar Traffic at Bottleneck Buffers of Computer Networks....Pages 251-268
Complex Behavior of Parallel-Connected DC/DC Converters from Nonlinear Viewpoint....Pages 269-290
Chaos-Based Cryptography....Pages 291-313
Chaos Based Digital Watermarking....Pages 315-332
Image Encryption Using Chaotic Maps....Pages 333-354
Chaos Based Generation of True Random Bits....Pages 355-377
Back Matter....Pages -