Descripción del título
Advances in Memristors, Mem...
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
Monografía
monografia Rebiun22462796 https://catalogo.rebiun.org/rebiun/record/Rebiun22462796 cr nn 008mamaa 170216s2017 gw s 00 0 eng d 9783319517247 9783319517230 9783319517254 9783319847276 10.1007/978-3-319-51724-7 doi UMA.RE UYQ bicssc COM004000 bisacsh 006.3 23 Advances in Memristors, Memristive Devices and Systems Recurso electrónico] edited by Sundarapandian Vaidyanathan, Christos Volos Cham Springer International Publishing 2017 Cham Cham Springer International Publishing Cham Springer International Publishing Imprint: Springer 2017 Cham Cham Springer International Publishing Imprint: Springer XII, 511 p. 294 il., 229 il. col XII, 511 p. 294 il., 229 il. col Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Computational Intelligence 701 Chapter 1 Memristor Emulators A Note on Modeling -- Chapter 2 A Simple Oscillator using Memristor -- Chapter 3 A Hyperjerk Memristive System with Hidden Attractors -- Chapter 4 A Memristive System with Hidden Attractors and its Engineering Application -- Chapter 5 Adaptive Control, Synchronization and Circuit Simulation of a Memristor-Based -- Chapter 6 Modern System Design using Memristors -- Chapter 7 RF/Microwave Applications of Memristors -- Chapter 8 Theory, Modeling and Design of Memristor-Based Min-Max Circuits -- Chapter 9 Analysis of a 4-D Hyperchaotic Fractional-Order Memristive System with Hidden Attractors -- Chapter 10 Adaptive Control and Synchronization of a Memristor-Based Shinrikis System 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 Engineering Systems engineering Electronics Computational Intelligence. Circuits and Systems. Electronics and Microelectronics, Instrumentation. Mathematical Models of Cognitive Processes and Neural Networks. Engineering Systems engineering Electronics Computational Intelligence Circuits and Systems Electronics and Microelectronics, Instrumentation Mathematical Models of Cognitive Processes and Neural Networks Vaidyanathan, Sundarapandian ed. lit Volos, Christos ed. lit 3-319-51723-6 Studies in Computational Intelligence 701