Advanced Memristor Modeling
Memristor Circuits and Networks
1st Edition
Published on 19. February 2019
Book
Hardback
184 pages
978-3-03897-104-7 (ISBN)
Description
The investigation of new memory schemes, neural networks, computer systems and many other improved electronic devices is very important for future generations of electronic circuits and for their widespread application in all the areas of industry. Relatedly, the analysis of new efficient and advanced electronic elements and circuits is an essential field of highly developed electrical and electronic engineering. The resistance-switching phenomenon, observed in many amorphous oxides, has been investigated since 1970 and is promising for inclusion in technologies for constructing new electronic memories. It has been established that such oxide materials have the ability to change their conductance in accordance to the applied voltage and memorizing their state for a long time interval. Similar behavior was predicted for the memristor element by Leon Chua in 1971. The memristor was proposed in accordance with symmetry considerations and the relationships between the four basic electric quantities-electric current i, voltage v, charge q and flux linkage ?. The memristor is a passive one-port element, together with the capacitor, inductor and resistor. The Williams Hewlett Packard (HP) research group has made a link between resistive switching devices and the memristor proposed by Chua. In addition, a number of scientific papers related to memristors and memristor devices have been issued and several models for them have been proposed. The memristor is a highly nonlinear component. It relates the electric charge q and the flux linkage ?, expressed as a time integral of the voltage v. It has the important capability of remembering the electric charge passing through its cross-section, and its respective resistance, when the electrical signals are switched off. Due to its nano-scale dimensions, non-volatility and memorizing properties, the memristor is a sound potential candidate for applications in high-density computer memories, artificial neural networks, and many other electronic devices.
More details
Language
English
Place of publication
Basel
Switzerland
Target group
Professional and scholarly
College/higher education
Professionals/Scholars
Edition type
New edition
Product notice
sewn/stitched
Cloth over boards
Illustrations
30
Illustrations
Dimensions
Height: 250 mm
Width: 175 mm
Thickness: 17 mm
Weight
660 gr
ISBN-13
978-3-03897-104-7 (9783038971047)
DOI
10.3390/books978-3-03897-103-0
Schweitzer Classification
Person
Author
Valeri Mladenov received his PhD from Technical University of Sofia (TU Sofia), Bulgaria in 1993. In 2004, he became a Head of the Department of Theory of Electrical Engineering. Since June 2011, he has been Dean of the Faculty of Automation, since December 2011 he has been Vice Rector of TU Sofia, and since December 2015 he has been Director of the Directorate of Information and Public Relations. In 2014, he has been Deputy Minister of Education and Science in the Caretaker Government in Bulgaria. He is a guest lecturer at the Faculty of Electrical Engineering, Eindhoven University of Technology, The Netherlands, and many others. Dr. Mladenov's research interests are in the field of nonlinear circuits and systems, neural networks, artificial intelligence, applied mathematics, and signal processing. He has received many international research fellowships. He has more than 250 scientific papers in professional journals and conferences. He is a co author of ten books and manuals for students. He has received many research grants from the Technical University of Sofia, Bulgarian Ministry of Education and Science, DAAD-Germany, NWO-The Netherlands, Royal Society-UK, NATO, TEMPUS, and others, and also with his team he has participated in many national and international projects-H2020, FP7, COST, Erasmus+ K1 and K2, DFG, and others. As a member of several editorial boards, Dr. Mladenov serves as a reviewer for a number of professional journals and conferences. He is a member of the International Neural Network Society (INNS), a member of the International Council of Large Electric Systems (SIGRE), a Senior Member of IEEE, a member of the IEEE Circuit and Systems Technical Committee on Cellular Nanoscale Networks and Array Computing, and Educational Activities Officer of the Bulgarian IEEE section. He is also a member of the Steering Committee of the International Symposium on Theoretical Electrical Engineering (ISTET), a member of the Management Boards of the Scientific and Technical Union of the Power Engineers, and a member of the Union of Automation and Informatics in Bulgaria.