Overview
- Reports on the latest methodologies for the analysis,
- design and control of chaotic and hyperchaotic systems
- Reports on the latest applications of intelligent
- Illustrates key concepts with computer simulations
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 337)
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Table of contents (36 chapters)
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Front Matter
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Advances in Chaos Theory
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Front Matter
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Keywords
About this book
The book reports on the latest advances in and applications of chaos theory and intelligent control. Written by eminent scientists and active researchers and using a clear, matter-of-fact style, it covers advanced theories, methods, and applications in a variety of research areas, and explains key concepts in modeling, analysis, and control of chaotic and hyperchaotic systems. Topics include fractional chaotic systems, chaos control, chaos synchronization, memristors, jerk circuits, chaotic systems with hidden attractors, mechanical and biological chaos, and circuit realization of chaotic systems. The book further covers fuzzy logic controllers, evolutionary algorithms, swarm intelligence, and petri nets among other topics. Not only does it provide the readers with chaos fundamentals and intelligent control-based algorithms; it also discusses key applications of chaos as well as multidisciplinary solutions developed via intelligent control. The book is a timely and comprehensive reference guide for graduate students, researchers, and practitioners in the areas of chaos theory and intelligent control.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Chaos Theory and Intelligent Control
Editors: Ahmad Taher Azar, Sundarapandian Vaidyanathan
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-30340-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-30338-3Published: 26 April 2016
Softcover ISBN: 978-3-319-80784-3Published: 22 April 2018
eBook ISBN: 978-3-319-30340-6Published: 15 April 2016
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XII, 873
Number of Illustrations: 293 b/w illustrations, 127 illustrations in colour
Topics: Computational Intelligence, Vibration, Dynamical Systems, Control, Control, Robotics, Mechatronics, Artificial Intelligence, Complex Systems, Statistical Physics and Dynamical Systems