Embedding classic chaotic maps in simple discrete-time memristor circuits
Mauro Di Marco, Mauro Forti, Giacomo Innocenti, Luca Pancioni, Alberto, Tesi

TL;DR
This paper demonstrates how simple discrete-time memristor circuits can exactly embed classic chaotic maps like logistic, tent, Henon, and Lozi, explaining the emergence of complex dynamics in such circuits.
Contribution
It introduces a flux-charge analysis method for discretizing memristor circuits, enabling exact embedding of multiple classic chaotic maps and explaining their complex behaviors.
Findings
Exact embedding of logistic and tent maps in simple circuits
Simultaneous embedding of Henon and Lozi maps in dual circuits
Circuits exhibit extreme multistability and complex dynamics
Abstract
In the last few years the literature has witnessed a remarkable surge of interest for chaotic maps implemented by discrete-time (DT) memristor circuits. This paper investigates on the reasons underlying this type of chaotic behavior. To this end, the papers considers the map implemented by the simplest memristor circuit given by a capacitor and an ideal flux-controlled memristor or an inductor and an ideal charge-controlled memristor. In particular, the manuscript uses the DT flux-charge analysis method (FCAM) introduced in a recent paper to ensure that the first integrals and foliation in invariant manifolds of continuous-time (CT) memristor circuits are preserved exactly in the discretization for any step size. DT-FCAM yields a two-dimensional map in the voltage-current domain (VCD) and a manifold-dependent one-dimensional map in the flux-charge domain (FCD), i.e., a one-dimensional…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Neural Networks and Applications · Quantum-Dot Cellular Automata
