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Cellular Neural Networks, Multi-scroll Chaos And Synchronization.

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 network...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Yalin, Mstak E.
Otros Autores: Suykens, Johan, Vandewalle, Joos
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : World Scientific, 2005.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Cellular Neural Networks, Multi-scroll Chaos And Synchronization. 
260 |a Singapore :  |b World Scientific,  |c 2005. 
300 |a 1 online resource (247 pages) 
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520 |a 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 Chuas circuit, leading to chip implementable circuits with increasingly complex attractors. Several. 
588 0 |a Print version record. 
505 0 |a Cover -- Preface -- Contents -- Chapter 1 Introduction -- 1.1 Nonlinear systems in engineering -- 1.2 This book -- 1.3 Chapter by chapter overview -- Chapter 2. Cellular neural/nonlinear networks -- Chapter 3. Multi-scroll chaotic and hyperchaotic attractors -- Chapter 4. Synchronization of chaotic Lure systems -- Chapter 5. Engineering applications -- 1.4 Main contributions -- Spatial-temporal pattern formation -- Implementation of n-scroll attractors from generalized Chuas circuits -- Families of scroll grid attractors -- Hyperchaotic n-scroll attractors and scroll maps -- Time-delay synchronization scheme -- Experimental confirmations of synchronization schemes -- Chaotic annealing and coupled chaotic annealing -- True random bit generation from a double scroll attractor -- Image and Video authentication on the CNN-UM -- Chapter 2 Cellular Neural/Nonlinear Networks -- 2.1 CNN -- 2.1.1 1-D CNNs -- 2.1.2 2-D CNNs -- 2.2 CNN models -- 2.2.1 Chua-Yang CNN model -- 2.2.2 State controlled CNN (SC-CNN) model -- 2.2.3 Full-range CNN model -- 2.2.4 Reaction-diffusion CNN model -- 2.2.5 Generalized CNN models -- 2.3 CNN universal machine: a visual microprocessor -- 2.4 New research directions in CNNs -- 2.4.1 Wave computing algorithm -- 2.4.2 Coupled local minimizers -- 2.4.3 Pattern formation on the ACE16k CNN Chip -- 2.4.4 Propagation of autowaves on the inhomogeneous CNN arrays -- 2.5 Conclusion -- Chapter 3 Multi-Scroll Chaotic and Hyperchaotic Attractors -- 3.1 Chuas circuit -- 3.1.1 Chaos in Chuas circuit -- 3.1.2 Realization of Chuas circuit -- 3.2 Generalized Chuas circuit -- 3.2.1 Realization of n-scroll attractors from generalized Chuas circuits -- 3.3 Families of scroll grid attractors -- 3.3.1 A new family of n-scroll attractors -- 3.3.2 2-D scroll grid attractors -- 3.3.3 3-D scroll grid attractors -- 3.3.4 Circuit realizations -- 3.3.5 Alternative realizations -- 3.4 Multi-scroll hyperchaotic attractors -- 3.4.1 Hyperchaotic n-scroll attractors -- 3.4.2 n-Scroll hypercube attractors -- 3.5 Scroll maps from n-scroll attractors -- 3.5.1 1-Scroll and 2-scroll maps -- 3.5.2 Circuit realization of a 1-scroll map -- 3.6 Lure representations -- 3.7 Conclusion -- Chapter 4 Synchronization of Chaotic Lure Systems -- 4.1 Synchronization -- Absolute stability -- 4.2 Master-slave synchronization: autonomous case -- 4.2.1 Full static state error feedback -- 4.2.2 Dynamic output feedback -- 4.3 Robust synchronization -- 4.3.1 Full static state error feedback -- 4.3.2 Dynamic output feedback -- 4.4 Time-delay synchronization scheme -- 4.4.1 Error system for the time-delay synchronization scheme -- 4.4.2 Delay-dependent synchronization criterion -- 4.4.3 Full static state feedback together with time delay -- 4.5 Nonlinear H synchronization: non-autonomous case -- 4.5.1 Full static state error feedback -- 4.5.2 Dynamic output feedback -- 4.6 Robust nonlinear H synchronization -- 4.6.1 Full static state error feedback -- 4.6.2 Dynamic output feedback -- 4.7 Impulsive synchronization -- 4.7.1 State feedback case -- 4.7.2 Measurement feedback case -- 4.8 Controller design -- 4.8.1 Master-slave synchronization -- 4.8.2 Robust synchronization -- 4.8.3 Synchronization with time-delay -- 4.8.4 N. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Chaotic behavior in systems. 
650 0 |a Computer engineering. 
650 0 |a Neural networks (Computer science) 
650 0 |a Nonlinear systems. 
650 0 |a Synchronization. 
650 0 |a Computer organization. 
650 6 |a Chaos. 
650 6 |a Ordinateurs  |x Conception et construction. 
650 6 |a Réseaux neuronaux (Informatique) 
650 6 |a Systèmes non linéaires. 
650 6 |a Synchronisation. 
650 7 |a Computer organization  |2 fast 
650 7 |a Chaotic behavior in systems  |2 fast 
650 7 |a Computer engineering  |2 fast 
650 7 |a Neural networks (Computer science)  |2 fast 
650 7 |a Nonlinear systems  |2 fast 
650 7 |a Synchronization  |2 fast 
700 1 |a Suykens, Johan. 
700 1 |a Vandewalle, Joos. 
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776 1 |z 9789812561619 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=244552  |z Texto completo 
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