Convergence of a Class of Delayed Neural Networks with Real Memristor Devices

Convergence of a Class of Delayed Neural Networks with Real Memristor Devices

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 importance are neural networks with generic or exten...

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Bibliographic Details
Main Authors: Mauro Di Marco, Mauro Forti, Riccardo Moretti, Luca Pancioni, Giacomo Innocenti, Alberto Tesi
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Mathematics
Subjects:
convergence
delay
differential variational inequalities (DVIs)
linear matrix inequalities (LMIs)
Lyapunov method
memristor
Online Access:https://www.mdpi.com/2227-7390/10/14/2439

Internet

https://www.mdpi.com/2227-7390/10/14/2439

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