Memristor state-space embedding
Wael Dghais, Luís Nero Alves, Joana Catarina Mendes, Jonathan Rodrı́guez, José C. Pedro
Abstract
Wael Dghais, Luís Nero Alves, Joana Catarina Mendes, Jonathan Rodrı́guez, José C. Pedro
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.
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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.
Key concepts: Curse of dimensionality, Embedding, Memristor, State (computer science), Current (fluid), Computer science, Voltage, Algorithm