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277 results on '"Forti, Mauro"'

2. Physical Implementation of a Tunable Memristor-based Chua's Circuit

Author

Escudero, Manuel, Spiga, Sabina, di Marco, Mauro, Forti, Mauro, Innocenti, Giacomo, Tesi, Alberto, Corinto, Fernando, and Brivio, Stefano

Subjects
Computer Science - Emerging Technologies
Abstract

Nonlinearity is a central feature in demanding computing applications that aim to deal with tasks such as optimization or classification. Furthermore, the consensus is that nonlinearity should not be only exploited at the algorithm level, but also at the physical level by finding devices that incorporate desired nonlinear features to physically implement energy, area and/or time efficient computing applications. Chaotic oscillators are one type of system powered by nonlinearity, which can be used for computing purposes. In this work we present a physical implementation of a tunable Chua's circuit in which the nonlinear part is based on a nonvolatile memristive device. Device characterization and circuit analysis serve as guidelines to design the circuit and results prove the possibility to tune the circuit oscillatory response by electrically programming the device., Comment: Accepted by IEEE 48th European Solid State Circuits Conference (ESSCIRC 2022)

Published
2023
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38. Chua’s Circuit With Tunable Nonlinearity Based on a Nonvolatile Memristor: Design and Realization

Author

Escudero, Manuel, Spiga, Sabina, Marco, Mauro Di, Forti, Mauro, Innocenti, Giacomo, Tesi, Alberto, Corinto, Fernando, and Brivio, Stefano

Abstract

Nonvolatile memristive devices display nonlinear characteristics suitable for implementing circuits exhibiting oscillations or more complex dynamic behaviors, including chaos. However, the results presented in related works are mostly limited to simulations and employing ideal memristor models whose resistance is governed by a charge-flux relation that is not connected to real devices, thus hindering the realization of such nonlinear oscillators. In this work, we present the framework for the physical implementation of a tunable memristor Chua’s circuit, which is based on a nonvolatile memristive device that provides the nonlinear conductance required by the circuit and the possibility to tune it for the purpose of selecting among different oscillation patterns. We first establish design guidelines to guarantee complex oscillations in the tunable memristor Chua’s circuit. Further, we physically implement the circuit after characterizing and modeling the tunable current-voltage characteristic of a real device. Our circuit successfully generates different oscillation patterns just by programming the nonvolatile memristive device to different states. The devised design guidelines and device modeling were used to extend the experimental work and draw further requirements for device properties for a successful circuit implementation.

Published
2024
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45. Complete Stability of Neural Networks With Extended Memristors

Author

Marco, Mauro Di, Forti, Mauro, Moretti, Riccardo, Pancioni, Luca, and Tesi, Alberto

Subjects
Complete stability (CS), Lyapunov method, Complete stability (CS), differential variational inequalities, in-memory computing, linear matrix inequality (LMI), Lyapunov diagonally stable (LDS) matrices, Lyapunov method, memristor, neural networks (NNs), differential variational inequalities, in-memory computing, neural networks (NNs), Lyapunov diagonally stable (LDS) matrices, linear matrix inequality (LMI), memristor
Published
2023

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