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On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor

On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor
Author: Ahmed G. Radwan
Publisher: Springer
Total Pages: 0
Release: 2016-10-09
Genre: Technology & Engineering
ISBN: 9783319366203

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This book introduces the basic fundamentals, models, emulators and analyses of mem-elements in the circuit theory with applications. The book starts reviewing the literature on mem-elements, models and their recent applications. It presents mathematical models, numerical results, circuit simulations, and experimental results for double-loop hysteresis behavior of mem-elements. The authors introduce a generalized memristor model in the fractional-order domain under different input and different designs for emulator-based mem-elements, with circuit and experimental results. The basic concept of memristive-based relaxation-oscillators in the circuit theory is also covered. The reader will moreover find in this book information on memristor-based multi-level digital circuits, memristor-based multi-level multiplier and memcapacitor-based oscillators and synaptic circuits.


On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor

On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor
Author: Ahmed G. Radwan
Publisher: Springer
Total Pages: 244
Release: 2015-05-09
Genre: Technology & Engineering
ISBN: 3319174916

Download On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor Book in PDF, ePub and Kindle

This book introduces the basic fundamentals, models, emulators and analyses of mem-elements in the circuit theory with applications. The book starts reviewing the literature on mem-elements, models and their recent applications. It presents mathematical models, numerical results, circuit simulations, and experimental results for double-loop hysteresis behavior of mem-elements. The authors introduce a generalized memristor model in the fractional-order domain under different input and different designs for emulator-based mem-elements, with circuit and experimental results. The basic concept of memristive-based relaxation-oscillators in the circuit theory is also covered. The reader will moreover find in this book information on memristor-based multi-level digital circuits, memristor-based multi-level multiplier and memcapacitor-based oscillators and synaptic circuits.


Advances in Memristors, Memristive Devices and Systems

Advances in Memristors, Memristive Devices and Systems
Author: Sundarapandian Vaidyanathan
Publisher: Springer
Total Pages: 511
Release: 2017-02-15
Genre: Technology & Engineering
ISBN: 3319517244

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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.


Memristor and Memristive Neural Networks

Memristor and Memristive Neural Networks
Author: Alex James
Publisher: BoD – Books on Demand
Total Pages: 326
Release: 2018-04-04
Genre: Computers
ISBN: 9535139479

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This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: (1) Devices, (2) Models and (3) Applications. The resistive switching property is an important aspect of the memristors, and there are several designs of this discussed in this book, such as in metal oxide/organic semiconductor nonvolatile memories, nanoscale switching and degradation of resistive random access memory and graphene oxide-based memristor. The modelling of the memristors is required to ensure that the devices can be put to use and improve emerging application. In this book, various memristor models are discussed, from a mathematical framework to implementations in SPICE and verilog, that will be useful for the practitioners and researchers to get a grounding on the topic. The applications of the memristor models in various neuromorphic networks are discussed covering various neural network models, implementations in A/D converter and hierarchical temporal memories.


Memristor

Memristor
Author: Yao-Feng Chang
Publisher: BoD – Books on Demand
Total Pages: 180
Release: 2021-11-17
Genre: Technology & Engineering
ISBN: 1839689560

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This book provides a platform for interdisciplinary research into unconventional computing with emerging physical substrates. With a focus on memristor devices, the chapter authors discuss a wide range of topics, including memristor theory, mathematical modelling, circuit theory, memristor-mate, memristor security, artificial intelligence, and much more.


Advances in Neural Computation, Machine Learning, and Cognitive Research V

Advances in Neural Computation, Machine Learning, and Cognitive Research V
Author: Boris Kryzhanovsky
Publisher: Springer Nature
Total Pages: 365
Release: 2021-11-22
Genre: Technology & Engineering
ISBN: 3030915816

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This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXIII International Conference on Neuroinformatics, held on October 18-22, 2021, Moscow, Russia.


Memristive Nonlinear Electronic Circuits

Memristive Nonlinear Electronic Circuits
Author: Fadhil Rahma
Publisher: Springer
Total Pages: 98
Release: 2019-01-19
Genre: Technology & Engineering
ISBN: 3030119211

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Memristive Nonlinear Electronic Circuits deals with nonlinear systems in the design and implementation of circuits for generating complex dynamics. The brief proposes a new memristor model using an inverse tangent function, which achieves the characteristics of the memristor and can be implemented easily because it corresponds to the bipolar transistor differential pair. The authors design a new model-based memristive time-delay system by obtaining a time-delay memristive differential equation, which can generate an n-scroll chaotic attractor by adjusting the proposed nonlinear function. These designs are carried out using OrCAD-PSpice. The brief also presents a new time-delay memristive circuit excited by a nonautonomous staircase function which can generate grid chaotic attractors: new families of grids of n×m-scrolls. For increasingly complex dynamics of the circuits, the authors propose a new five-dimensional autonomous system with two memristors. The dynamical characteristics are investigated by phase portraits and bifurcation diagrams. The brief applies two synchronization methods to the memristive circuits: PC synchronization, and feedback control synchronization. The authors consider synchronization as the idea underlying idea the applications in nonlinear electronic circuits. Finally, the double-memristor system is employed to give rise to a highly secure dual-stage encryption technique.


Advances in Neural Computation, Machine Learning, and Cognitive Research III

Advances in Neural Computation, Machine Learning, and Cognitive Research III
Author: Boris Kryzhanovsky
Publisher: Springer Nature
Total Pages: 428
Release: 2019-09-03
Genre: Technology & Engineering
ISBN: 3030304256

Download Advances in Neural Computation, Machine Learning, and Cognitive Research III Book in PDF, ePub and Kindle

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXI International Conference on Neuroinformatics, held on October 7-11, 2019, in Dolgoprudny, a town in Moscow region, Russia.


Fractional Order Systems

Fractional Order Systems
Author: Ahmad Taher Azar
Publisher: Academic Press
Total Pages: 741
Release: 2018-08-16
Genre: Technology & Engineering
ISBN: 0128163089

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Fractional Order Systems: Optimization, Control, Circuit Realizations and Applications consists of 21 contributed chapters by subject experts. Chapters offer practical solutions and novel methods for recent research problems in the multidisciplinary applications of fractional order systems, such as FPGA, circuits, memristors, control algorithms, photovoltaic systems, robot manipulators, oscillators, etc. This book is ideal for researchers working in the modeling and applications of both continuous-time and discrete-time dynamics and chaotic systems. Researchers from academia and industry who are working in research areas such as control engineering, electrical engineering, mechanical engineering, computer science, and information technology will find the book most informative. Discusses multi-disciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results Includes new circuits and systems based on the new nonlinear elements Covers most of the linear and nonlinear fractional-order theorems that will solve many scientific issues for researchers Closes the gap between theoretical approaches and real-world applications Provides MATLAB® and Simulink code for many of the applications in the book


Mathematical Modeling of Memristors

Mathematical Modeling of Memristors
Author: Yasin Oğuz
Publisher:
Total Pages:
Release: 2018
Genre: Computers
ISBN:

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The memristor has quite a reputation as a missing circuit element. It is a powerful candidate for next-generation applications after being first implemented in HP's laboratories. At this point, mathematical models were needed for the analysis of the memristor, and a lot of studies were done on this subject. In this chapter, mathematical modeling and simulations of the memristor device have been emphasized. Firstly, linear drift and nonlinear drift models have been described on the basic HP model. The window functions used in the nonlinear drift model have been widely examined. Different from HP model, the Simmons tunnel barrier and the threshold adaptive memristor model (TEAM) have been also mentioned. As a result, the most widely used modeling techniques have been described in detail.