3 papers
eess.SY2026
Mixed Potential Approach to Convergence of Nonlinear RLC Circuits with Memristors
Mauro Di Marco, Mauro Forti, Luca Pancioni +2
The paper considers a large class of nonlinear circuits, termed RLCM, containing all four basic circuit elements, i.e., resistors, inductors, capacitors and memristors. A companion…
eess.SY2026
Mixed potential for nonlinear RLC circuits with memristors
Mauro Di Marco, Mauro Forti, Luca Pancioni +2
In two seminal articles published in 1964, Brayton and Moser introduced the concept of a mixed potential as a fundamental theoretic tool to describe and analyze a class RLC of nonl…
eess.SY2025
Convergent Weight and Activation Dynamics in Memristor Neural Networks
Mauro Di Marco, Mauro Forti, Luca Pancioni +2
Convergence of dynamic feedback neural networks (NNs), as the Cohen-Grossberg, Hopfield and cellular NNs, has been for a long time a workhorse of NN theory. Indeed, convergence in…