Please use this identifier to cite or link to this item:
Title: Memristor State-Space Embedding
Author: Dghais, Wael
Alves, Luis Nero
Mendes, Joana Catarina
Rodriguez, Jonathan
Pedro, José Carlos
Keywords: Memristor device
Nonlinear behavioral modelling
False nearest neighbour
State-space embedding.
Issue Date: 19-Oct-2015
Publisher: IEEE
Abstract: This paper presents a procedure for the determination of the dimensionality of the state space of a memristive device. The state space dimensionality of a device corresponds to the minimum number of time delayed values/derivatives of the voltage and current required to represent the device dynamics for a specified set of inputs. The algorithm is based on the observed time domain voltage-current (i.e. input-output) data which is obtained by measurement. The determination of the state space dimensionality is important to achieve a single-valued input-output multivariate mapping between the device outputs as a function of the embedding variables. In this paper, this will be accomplished using an embedding technique, based on the false nearest neighbor principle.
Peer review: yes
DOI: 10.1109/ECCTD.2015.7300040
ISBN: 978-147999877-7
Appears in Collections:DETI - Comunicações
IT - Comunicações

Files in This Item:
File Description SizeFormat 
ECCTD2015_MD_Embedding_Camera_readyV2.pdf645.31 kBAdobe PDFView/Open

Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.