Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/22212
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 |
URI: | http://hdl.handle.net/10773/22212 |
DOI: | 10.1109/ECCTD.2015.7300040 |
ISBN: | 978-147999877-7 |
Appears in Collections: | DETI - Comunicações IT - Comunicações |
Files in This Item:
File | Description | Size | Format | |
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ECCTD2015_MD_Embedding_Camera_readyV2.pdf | 645.31 kB | Adobe PDF | View/Open |
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