Nonlinear Circuits and Systems with Memristors

lt;p>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 Italy CAS 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. In 1998 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 do

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.