Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Giacomo Innocenti"'
Autor:
Giacomo Innocenti, Michele Basso
Publikováno v:
ECC
The recent advent of “smart” technologies in the industry has increased the interest on techniques able to lighten the burden on communication networks. In this framework, the debate on event triggered controllers has been heated by many recent a
Publikováno v:
IEEE Access, Vol 12, Pp 148216-148229 (2024)
In the last few years the literature has witnessed a remarkable surge of interest for maps implemented by discrete-time (DT) memristor circuits. One main reason is that from numerical simulations it appears that even for simple memristor circuits the
Externí odkaz:
https://doaj.org/article/d4b5f19519eb4b69806442e40523b629
Conference
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Publikováno v:
IEEE Access, Vol 11, Pp 127431-127445 (2023)
Oscillatory circuits with real memristors have attracted a lot of interest in recent years. The vast majority of circuits involve volatile memristors, while less explored is the use of non-volatile ones. This paper considers a circuit composed by the
Externí odkaz:
https://doaj.org/article/b88cc7313f6b47269225660e670cdf6a
Autor:
Mauro Di Marco, Mauro Forti, Luca Pancioni, Giacomo Innocenti, Alberto Tesi, Fernando Corinto
Publikováno v:
IEEE Access, Vol 10, Pp 13650-13662 (2022)
Stanford memristor model is a widely used model that accurately characterizes real non-volatile metal-oxide resistive random access memory (RRAM) devices with bipolar switching characteristics. The paper studies for the first time the dynamics and bi
Externí odkaz:
https://doaj.org/article/f6a27b0baeb44310af9c5c66143feb7b
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Since the introduction of memristors, it has been widely recognized that they can be successfully employed as synapses in neuromorphic circuits. This paper focuses on showing that memristor circuits can be also used for mimicking some features of the
Externí odkaz:
https://doaj.org/article/2b950b8b67fb466f8f0943a8175ebd1c
Autor:
Mauro Di Marco, Mauro Forti, Riccardo Moretti, Luca Pancioni, Giacomo Innocenti, Alberto Tesi
Publikováno v:
Mathematics, Vol 10, Iss 14, p 2439 (2022)
Neural networks with memristors are promising candidates to overcome the limitations of traditional von Neumann machines via the implementation of novel analog and parallel computation schemes based on the in-memory computing principle. Of special im
Externí odkaz:
https://doaj.org/article/076151cee1b942d8a56cde631f5ba48b
Publikováno v:
Journal of the Franklin Institute. 359:11007-11038
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 12:735-749
Publikováno v:
Drones, Vol 5, Iss 3, p 55 (2021)
In this paper, a multilevel architecture able to interface an on-board computer with a generic UAV flight controller and its radio receiver is proposed. The computer board exploits the same standard communication protocol of UAV flight controllers an
Externí odkaz:
https://doaj.org/article/5b52fdf6e91747269a63007cab8c8bdd