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Titlebook: Advances in Memristors, Memristive Devices and Systems; Sundarapandian Vaidyanathan,Christos Volos Book 2017 Springer International Publis

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发表于 2025-3-21 16:40:06 | 显示全部楼层 |阅读模式
期刊全称Advances in Memristors, Memristive Devices and Systems
影响因子2023Sundarapandian Vaidyanathan,Christos Volos
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发行地址Introduces readers to key research issues in memristors, memristive devices and systems.Includes chapters by eminent experts and pioneers in memristors such as Prof. Leon Chua (UC Berkeley, USA) and D
学科分类Studies in Computational Intelligence
图书封面Titlebook: Advances in Memristors, Memristive Devices and Systems;  Sundarapandian Vaidyanathan,Christos Volos Book 2017 Springer International Publis
影响因子This book reports on the latest advances in and applications of memristors, memristive devices and systems. It gathers 20 contributed chapters by subject experts, including pioneers in the field such as Leon Chua (UC Berkeley, USA) and R.S. Williams (HP Labs, USA), who are specialized in the various topics addressed in this book, and covers broad areas of memristors and memristive devices such as: memristor emulators, oscillators, chaotic and hyperchaotic memristive systems, control of memristive systems, memristor-based min-max circuits, canonic memristors, memristive-based neuromorphic applications, implementation of memristor-based chaotic oscillators, inverse memristors, linear memristor devices, delayed memristive systems, flux-controlled memristive emulators, etc. .Throughout the book, special emphasis is given to papers offering practical solutions and design, modeling, and implementation insights to address current research problems in memristors, memristive devices and systems. As such, it offers a valuable reference book on memristors and memristive devices for graduate students and researchers with a basic knowledge of electrical and control systems engineering..
Pindex Book 2017
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https://doi.org/10.1007/978-94-011-9697-0den attractors), this subject has received a significant interest. From an engineering point of view, hidden attractors are important and can lead to unexpected behavior. Various chaotic systems with the presence of hidden attractors have been discovered recently. Especially, memristor, the fourth b
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https://doi.org/10.1007/978-94-011-9697-0ing a great deal of attention in different areas from associative memory, neural networks, programmable analog ICs to low–power computing and so on. It is well known that the presence of memristor in a dynamical system may yield novel features because it is both a nonlinear element and a memory elem
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Coleridge and the Concept of Natureificant attention in the control literature. In this work, we study a memristor-based hyperchaotic system with hidden attractors. First, we study the dynamic properties of the memristor-based hyperchaotic system such as equilibria, Lyapunov exponents, Poincaré map, etc. We obtain the Lyapunov expone
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https://doi.org/10.1057/9780230206533in Artificial Neural Networks and Fuzzy systems. For instance, the inference engine in Fuzzy controllers that constitutes the decision-making unit in such systems is a Min-Max circuit. Conventionally, transistor-based architectures were adopted in the design of Min-Max circuits. Several designs have
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Coleridge and the Daemonic Imagination spintronic devices, ultra-dense information storage, neuromorphic circuits and programmable electronics. Also, the intrinsic nonlinear characteristic of memristor has been exploited in implementing novel chaotic oscillators with complex dynamics, by replacing their nonlinear elements with memristor
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