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Controlling chaos: suppression, synchronization and chaotification

By Wing-Kuen Ling

Abstract

One of the interests of the IEEE Computational Intelligence Society is the study of non-linear dynamical systems, such as fuzzy systems and neural networks. As many non-linear dynamical systems exhibit chaotic phenomena, the study of chaotic systems has drawn a lot of attention from the IEEE Computational Intelligence Community. From practical viewpoints, controlling chaos, such as suppressions of chaos, synchronizations of chaotic systems and chaotifications of nonchaotic systems, are important to our daily life. For a long time, it was expected to have a book covering these topics. I am delighted to find that the book written by Prof. Zhang, Prof. Liu and Prof. Wang addresses the above issues and presents the latest research results in this field

Topics: H310 Dynamics
Publisher: IEEE Computational Intelligence Society
Year: 2011
DOI identifier: 10.1109/MCI.2010.939582
OAI identifier: oai:eprints.lincoln.ac.uk:4001
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