Cellular Neural Networks Multi scroll Chaos and Synchronization

This book PDF is perfect for those who love Computers genre, written by M?tak E. Yal‡in and published by World Scientific which was released on 08 May 2024 with total hardcover pages 248. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Cellular Neural Networks Multi scroll Chaos and Synchronization books below.

Cellular Neural Networks Multi scroll Chaos and Synchronization
Cellular Neural Networks Multi scroll Chaos and Synchronization
Author : M?tak E. Yal‡in
File Size : 46,9 Mb
Publisher : World Scientific
Language : English
Release Date : 08 May 2024
ISBN : 9789812561619
Pages : 248 pages
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Cellular Neural Networks Multi scroll Chaos and Synchronization by M?tak E. Yal‡in Book PDF Summary

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 Chua's circuit, leading to chip implementable circuits with increasingly complex attractors. Several applications make use of synchronization techniques for nonlinear systems. A systematic overview is given for Lur'e representable systems with global synchronization criteria for master-slave and mutual synchronization, robust synchronization, HV synchronization, time-delayed systems and impulsive synchronization.

Cellular Neural Networks Multi scroll Chaos and Synchronization

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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

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