Fuzzy Chaotic Systems: Modeling, Control, and Applications (Studies in Fuzziness and Soft Computing, 199, Band 199) - Hardcover

Li, Zhong

 
9783540332206: Fuzzy Chaotic Systems: Modeling, Control, and Applications (Studies in Fuzziness and Soft Computing, 199, Band 199)
Hardcover
ISBN 10: 3540332200 ISBN 13: 9783540332206
Verlag: Springer, 2006

Inhaltsangabe

Bringing together the two seemingly unrelated concepts,fuzzy logic andchaos theory,isprimarilymotivatedbytheconceptofsoft computing (SC),initiated by Lot? A. Zadeh, the founder of fuzzy set theory. The principal constituents of SC are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming parts of belief networks, genetic algorithms, chaos theory and learning theory. What is important to note is that SC is not a melange of FL, NN and PR. Rather, it is an integration in which each of the partners contributes a distinct methodology for addressing problems in their common domain. In this perspective, the principal cont- butions of FL, NN and PR are complementary rather than competitive. SC di?ers from conventional (hard) computing in that it is tolerant of imprecision, uncertainty and partial truth. In e?ect, the role model for soft computing is the human mind. From the general SC concept, we extract FL and chaos theory as the object of this book to study their relationships or interactions. Over the past few decades, fuzzy systems technology and chaos theory have received ever increasing research interests from, respectively, systems and control engineers, theoretical and experimental physicists, applied ma- ematicians, physiologists, and other communities of researchers. Especially, as one of the emerging information processing technologies, fuzzy systems technology has achieved widespread applications around the globe in many industriesandtechnical?elds,rangingfromcontrol,automation,andarti?cial intelligence (AI) to image/signal processing and pattern recognition. On the otherhand,inengineeringsystemschaostheoryhasevolvedfrombeingsimply a curious phenomenon to one with real, practical signi?cance andutilization.

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Über die Autorin bzw. den Autor

Changjun Jiang is a Professor and the current Vice President of Tongji University. He is also Chief Scientist of the National Program on the Key Basic Research Project of China (973 Program), Director of the Key Laboratory of Embedded System and Service Computing, Ministry of Education, and Director of Shanghai Electronic Transactions and the Information Service Collaborative Innovation Center. He won the second prize for National Science and Technology Progress in 2013 and 2016, and the second prize for National Technology Invention in 2010. His current research interests are in network concurrent theory, network risk prevention and control, network computing environments, and network information services. Zhong Li is an Associate Professor at Donghua University. She received her Ph.D. degree from Tongji University, Shanghai, China, in 2015, and has since presided over the National Natural Science Foundation of China (General Program), Shanghai Rising-Star Program. She has published more than 20 papers in journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Wireless Communications, IEEE Transactions on Intelligent Transportation Systems. Her main research interests are in the internet of vehicles, mobile computing, and network security.

Von der hinteren Coverseite

"Fuzzy Chaotic Systems" provides original heuristic research achievements and insightful ideas on the interactions or intrinsic relationships between fuzzy logic and chaos theory. It presents the fundamental concepts of fuzzy logic and fuzzy control, chaos theory and chaos control, as well as thedefinition of chaos on the metric space of fuzzy sets. This monograph discusses and illustrates fuzzy modeling and fuzzy control of chaotic systems, synchronization, anti-control of chaos, intelligent digital redesign, spatiotemporal chaos and synchronization in complex fuzzy systems; as well as a practical application example of fuzzy-chaos-based cryptography. Like other very good books, this book may raise more questions than it can provide answers. It therefore generates a great potential to attract more attention to combine fuzzy systems with chaos theory and contains important seeds for future scientific research and engineering applications.

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Verlag
Springer
Erscheinungsdatum
2006
Sprache
Englisch
ISBN 10 
3540332200
ISBN 13 
9783540332206
Einband
Gebundene Ausgabe
Anzahl der Seiten
312
Kontakt zum Hersteller
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Darmstadt
64293
Deutschland

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9783642069796: Fuzzy Chaotic Systems: Modeling, Control, and Applications (Studies in Fuzziness and Soft Computing, Band 199)

Vorgestellte Ausgabe

ISBN 10:  3642069797 ISBN 13:  9783642069796
Verlag: Springer, 2010
Softcover