Volume 125, Number 2, January 2019
|Number of page(s)||7|
|Published online||08 February 2019|
Dynamical attractors of memristors and their networks
1 Department of Physics and Astronomy, University of South Carolina - Columbia, SC 29208, USA
2 Institute of Physics, Opole University - Opole 45-052, Poland
Received: 21 August 2018
Accepted: 11 January 2019
It is shown that the time-averaged dynamics of memristors and their networks periodically driven by alternating-polarity pulses may converge to fixed-point attractors. Starting with a general memristive system model, we derive basic equations describing the fixed-point attractors and investigate attractors in the dynamics of ideal, threshold-type and second-order memristors, and memristive networks. A memristor potential function is introduced, and it is shown that in some cases the attractor identification problem can be mapped to the problem of potential function minimization. Importantly, the fixed-point attractors may only exist if the function describing the internal state dynamics depends on an internal state variable. Our findings may be used to tune the states of analog memristors, and also be relevant to memristive synapses subjected to forward- and back-propagating spikes.
PACS: 05.45.-a – Nonlinear dynamics and chaos / 85.35.-p – Nanoelectronic devices
© EPLA, 2019
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