04584nam 22006615 450 991025416320332120200702005239.03-319-51724-410.1007/978-3-319-51724-7(CKB)3710000001079858(DE-He213)978-3-319-51724-7(MiAaPQ)EBC5595535(PPN)198869088(EXLCZ)99371000000107985820170216d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAdvances in Memristors, Memristive Devices and Systems /edited by Sundarapandian Vaidyanathan, Christos Volos1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XII, 511 p. 294 illus., 229 illus. in color.) Studies in Computational Intelligence,1860-949X ;701Includes index.3-319-51723-6 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 Shinriki’s 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.Studies in Computational Intelligence,1860-949X ;701Computational intelligenceElectronic circuitsElectronicsMicroelectronicsNeural networks (Computer science)Computational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Circuits and Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/T24068Electronics and Microelectronics, Instrumentationhttps://scigraph.springernature.com/ontologies/product-market-codes/T24027Mathematical Models of Cognitive Processes and Neural Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/M13100Computational intelligence.Electronic circuits.Electronics.Microelectronics.Neural networks (Computer science)Computational Intelligence.Circuits and Systems.Electronics and Microelectronics, Instrumentation.Mathematical Models of Cognitive Processes and Neural Networks.621.384133Vaidyanathan Sundarapandianedthttp://id.loc.gov/vocabulary/relators/edtVolos Christosedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910254163203321Advances in Memristors, Memristive Devices and Systems2209878UNINA