One of the appealing properties of memristor circuits is multistability, i.e., the coexistence in the state space of a large variety of different attractors. Since each attractor belongs to one of the infinitely many invariant manifolds in which the state space is decomposed, switching between different attractors requires to address the problem of steering the memristor circuits dynamics from one invariant manifold to another in a given time interval. For a fairly general class of circuits containing an ideal memristor it is shown that it is always possible to solve this problem via a pulse programmed source.

Di Marco, M., Forti, M., Innocenti, G., Tesi, A. (2021). On controlling multistability in memristor circuits. In 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) (pp.1-4). New York : IEEE Computer Society [10.1109/CNNA49188.2021.9610751].

On controlling multistability in memristor circuits

Di Marco M.;Forti M.;
2021-01-01

Abstract

One of the appealing properties of memristor circuits is multistability, i.e., the coexistence in the state space of a large variety of different attractors. Since each attractor belongs to one of the infinitely many invariant manifolds in which the state space is decomposed, switching between different attractors requires to address the problem of steering the memristor circuits dynamics from one invariant manifold to another in a given time interval. For a fairly general class of circuits containing an ideal memristor it is shown that it is always possible to solve this problem via a pulse programmed source.
2021
978-1-6654-3948-0
Di Marco, M., Forti, M., Innocenti, G., Tesi, A. (2021). On controlling multistability in memristor circuits. In 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) (pp.1-4). New York : IEEE Computer Society [10.1109/CNNA49188.2021.9610751].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1219059