Nonlinear Circuits and Systems with Memristors: Nonlinear Dynamics and Analogue Computing via the Flux-Charge Analysis Method
Autor Fernando Corinto, Mauro Forti, Leon O. Chuaen Limba Engleză Hardback – noi 2020
After giving an introduction on memristor-based nonlinear dynamical circuits (e.g., periodic/chaotic oscillators) and their use as basic computing analogue elements, the authors delve into the nonlinear dynamical properties of circuits and systems with memristors and present the flux-charge analysis, a novel method for analyzing the nonlinear dynamics starting from writing Kirchhoff laws and constitutive relations of memristor circuit elements in the flux-charge domain.
This analysis method reveals new peculiar and intriguing nonlinear phenomena in memristor circuits, such as the coexistence of different nonlinear dynamical behaviors, extreme multistability and bifurcations without parameters.
The book also describeshow arrays of memristor-based nonlinear oscillators and locally-coupled neural networks can be applied in the field of analog computing architectures, for example for pattern recognition.
The book will be of interest to scientists and engineers involved in the conceptual design of physical memristor devices and systems, mathematical and circuit models of physical processes, circuits and networks design, system engineering, or data processing and system analysis.
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Specificații
ISBN-13: 9783030556501
ISBN-10: 3030556506
Ilustrații: XXXIII, 438 p. 208 illus., 76 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.84 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030556506
Ilustrații: XXXIII, 438 p. 208 illus., 76 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.84 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
Preface.- Part I preliminary:Brief of Nonlinear Dynamics of RCL Circuits.- Part II Memristor Circuits:Flux–Charge Analysis Method.- Bifurcations without Parameters.- Pulse Programming via Invariant Manifolds.- Extended Class of Memristor Devices.- Complex Dynamics in Arrays of Memristor Oscillators via the Flux–Charge Method.- Memristor Standard Cellular Neural Networks Computing in the Flux-Charge Domain.- Solutions.- References.
Notă biografică
Fernando Corinto received the Masters' Degree in Electronic Engineering and the Ph.D. degree in Electronics and Communications Engineering from the Politecnico di Torino, in 2001 and 2005 respectively. He also received the European Doctorate from the Politecnico di Torino, in 2005. Prof. Corinto was awarded a Marie Curie Fellowship in 2004. He is currently Full Professor of Electrical Engineering with the Department of Electronics and Telecommunications, Politecnico di Torino. His research activities are mainly on nonlinear dynamical circuits and systems, complex/neural networks and memristor nanotechnology. Prof. Corinto is author of 2 books, 7 book chapters and more than 150 international journal and conference papers. Since 2010, he is Senior Member of the IEEE. He is also Member of the IEEE CAS Technical Committees on “Cellular Nanoscale Networks and Array Computing” and “Nonlinear Circuits and Systems”. Prof. Corinto served as Vice-Chair of the IEEE North ItalyCAS Chapter. Prof. Corinto has been Associated Editor of the IEEE Trans. on Circuits and Systems - I for 2014-2015. He is also in the Editorial Board and Review Editor of the International Journal of Circuit Theory and Applications since January 2015. Prof. Corinto has been the Vice Chair of the COST Action “Memristors - Devices, Models, Circuits, Systems and Applications (MemoCiS)”. Prof. Corinto has been DRESDEN Senior Fellows at the Technische Universität Dresden in 2013 and 2017. Prof. Corinto is also August-Wilhelm Scheer visiting professor at Technische Universität München and member of the Institute for Advanced Study -Technische Universität München.
Mauro Forti received the Laurea degree in Electronics Engineering (cum laude) from the University of Florence, Italy. From 1991 to 1998 he has been assistant professor at the Department of Electronics Engineering of the University of Florence, Italy, where he taught courses on circuit theory and applied mathematics. In1998 he joined the Department of Information Engineering and Mathematics of the University of Siena, Siena, Italy, where he is currently Professor of Electrical Engineering. The main scientific interests are in nonlinear circuit theory and neural networks, with emphasis on the qualitative properties of the nonlinear dynamics (convergence, oscillation and complex behaviors) of large scale systems, and the analysis and design of circuits containing new nanoscale components as memristors. His research interests also include aspects of electromagnetic compatibility. He is author of more than 100 international publications (77 in international journals, 41 of which in transactions of the IEEE). He has served as Associate Editor of the IEEE Transactions on Neural Networks and the IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications. He is currently serving as Associate Editor of the IEEE Transactions on Cybernetics, Neural Networks (Elsevier) and Frontiers in Neuroscience. Prof. Forti cooperates as a reviewer with several international journals on topics concerning nonlinear dynamics of circuits and systems.
Leon O. Chua received his MSEE from Massachusetts Institute of Technology in 1961, and the Ph.D. from University of Illinois, Urban-Champaign in 1964. After that he was assistant and associate professor at Purdue University until 1970. He has been a professor of electrical engineering and computer sciences at the University of California at Berkeley since 1971. Dr. Chua is known as a pioneer in 3 major research areas, namely, nonlinear circuits, chaos, and cellular neural networks. His work in these areas has been recognized internationally through numerous major awards, including 12 honorary doctorates from major universities in Europe and Japan, and 7 USA patents. He was elected as Fellow of IEEE in 1974, a foreign member of the European Academy of Sciences (Academia Europea) in 1997, and a foreign member of the Hungarian Academy of Sciences in 2007. He was honored with many prestigious awards and prizes, including the IEEE Browder J. Thompson Memorial Prize Award in 1972, the Frederick Emmons Terman Award in 1974, the IEEE W. R. G. Baker Prize Award in 1978, the Frederick Emmons Award in 1974, twice winner of theIEEE M.E.Van Valkenburg Award (1995 and 1998), the IEEE Neural Networks Pioneer Award in 2000, the first IEEE Gustav Kirchhoff Award in 2005, the IEEE Vitold Belevitch Award in 2007, and the Guggenheim Fellow award in 2010 and a Leverhulme Trust Visiting Professorship in 2011.
Mauro Forti received the Laurea degree in Electronics Engineering (cum laude) from the University of Florence, Italy. From 1991 to 1998 he has been assistant professor at the Department of Electronics Engineering of the University of Florence, Italy, where he taught courses on circuit theory and applied mathematics. In1998 he joined the Department of Information Engineering and Mathematics of the University of Siena, Siena, Italy, where he is currently Professor of Electrical Engineering. The main scientific interests are in nonlinear circuit theory and neural networks, with emphasis on the qualitative properties of the nonlinear dynamics (convergence, oscillation and complex behaviors) of large scale systems, and the analysis and design of circuits containing new nanoscale components as memristors. His research interests also include aspects of electromagnetic compatibility. He is author of more than 100 international publications (77 in international journals, 41 of which in transactions of the IEEE). He has served as Associate Editor of the IEEE Transactions on Neural Networks and the IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications. He is currently serving as Associate Editor of the IEEE Transactions on Cybernetics, Neural Networks (Elsevier) and Frontiers in Neuroscience. Prof. Forti cooperates as a reviewer with several international journals on topics concerning nonlinear dynamics of circuits and systems.
Leon O. Chua received his MSEE from Massachusetts Institute of Technology in 1961, and the Ph.D. from University of Illinois, Urban-Champaign in 1964. After that he was assistant and associate professor at Purdue University until 1970. He has been a professor of electrical engineering and computer sciences at the University of California at Berkeley since 1971. Dr. Chua is known as a pioneer in 3 major research areas, namely, nonlinear circuits, chaos, and cellular neural networks. His work in these areas has been recognized internationally through numerous major awards, including 12 honorary doctorates from major universities in Europe and Japan, and 7 USA patents. He was elected as Fellow of IEEE in 1974, a foreign member of the European Academy of Sciences (Academia Europea) in 1997, and a foreign member of the Hungarian Academy of Sciences in 2007. He was honored with many prestigious awards and prizes, including the IEEE Browder J. Thompson Memorial Prize Award in 1972, the Frederick Emmons Terman Award in 1974, the IEEE W. R. G. Baker Prize Award in 1978, the Frederick Emmons Award in 1974, twice winner of theIEEE M.E.Van Valkenburg Award (1995 and 1998), the IEEE Neural Networks Pioneer Award in 2000, the first IEEE Gustav Kirchhoff Award in 2005, the IEEE Vitold Belevitch Award in 2007, and the Guggenheim Fellow award in 2010 and a Leverhulme Trust Visiting Professorship in 2011.
Textul de pe ultima copertă
This book presents a new approach to the study of physical nonlinear circuits and advanced computing architectures with memristor devices. Such a unified approach to memristor theory has never been systematically presented in book form.
After giving an introduction on memristor-based nonlinear dynamical circuits (e.g., periodic/chaotic oscillators) and their use as basic computing analogue elements, the authors delve into the nonlinear dynamical properties of circuits and systems with memristors and present the flux-charge analysis, a novel method for analyzing the nonlinear dynamics starting from writing Kirchhoff laws and constitutive relations of memristor circuit elements in the flux-charge domain.
This analysis method reveals new peculiar and intriguing nonlinear phenomena in memristor circuits, such as the coexistence of different nonlinear dynamical behaviors, extreme multistability and bifurcationswithout parameters.
The book also describes how arrays of memristor-based nonlinear oscillators and locally-coupled neural networks can be applied in the field of analog computing architectures.
The book will be of interest to scientists and engineers involved in the conceptual design of physical memristor devices and systems, mathematical and circuit models of physical processes, circuits and networks design, system engineering, or data processing and system analysis.
After giving an introduction on memristor-based nonlinear dynamical circuits (e.g., periodic/chaotic oscillators) and their use as basic computing analogue elements, the authors delve into the nonlinear dynamical properties of circuits and systems with memristors and present the flux-charge analysis, a novel method for analyzing the nonlinear dynamics starting from writing Kirchhoff laws and constitutive relations of memristor circuit elements in the flux-charge domain.
This analysis method reveals new peculiar and intriguing nonlinear phenomena in memristor circuits, such as the coexistence of different nonlinear dynamical behaviors, extreme multistability and bifurcationswithout parameters.
The book also describes how arrays of memristor-based nonlinear oscillators and locally-coupled neural networks can be applied in the field of analog computing architectures.
The book will be of interest to scientists and engineers involved in the conceptual design of physical memristor devices and systems, mathematical and circuit models of physical processes, circuits and networks design, system engineering, or data processing and system analysis.
Caracteristici
Provides a systematic and unified approach to memristor theory Explains fundamental concepts of nonlinear dynamics for memristor circuits and systems Presents the novel notion of coexisting attractors and bifurcations without parameters