Title
Convergence and Multistability of Nonsymmetric Cellular Neural Networks With Memristors.
Abstract
Recent work has considered a class of cellular neural networks (CNNs) where each cell contains an ideal capacitor and an ideal flux-controlled memristor. One main feature is that during the analog computation the memristor is assumed to be a dynamic element, hence each cell is second-order with state variables given by the capacitor voltage and the memristor flux. Such CNNs, named dynamic memristo...
Year
DOI
Venue
2017
10.1109/TCYB.2016.2586115
IEEE Transactions on Cybernetics
Keywords
Field
DocType
Memristors,Convergence,Computer architecture,Capacitors,Artificial neural networks,Microprocessors,Steady-state
Convergence (routing),Memristor,Control theory,Computer science,Irreducibility,State variable,Multistability,Memistor,Steady state,Cellular neural network
Journal
Volume
Issue
ISSN
47
10
2168-2267
Citations 
PageRank 
References 
14
0.50
34
Authors
3
Name
Order
Citations
PageRank
Mauro Di Marco120518.38
Mauro Forti239836.80
Luca Pancioni320717.58