1 citations · 1 across the 6 of their papers we have counts for
6 papers
On the behavior assignment problem
Francesca Mazzolani, Michelangelo Bin, Lorenzo Marconi
This paper introduces the asymptotic behavior assignment problem for nonlinear systems. Given a controlled system and a reference system with an ``open'' input, the goal is to desi…
On the Contraction of Excitable Systems
Alessandro Cecconi, Michelangelo Bin, Lorenzo Marconi +1
We study the contraction of Hodgkin-Huxley model and its role in the reliability of spike timings. Without input, the model is contractive in the region of physiological interest.…
Physics-Informed Neural Networks for Nonlinear Output Regulation
Sebastiano Mengozzi, Giovanni B. Esposito, Michelangelo Bin +3
This work addresses the full-information output regulation problem for nonlinear systems, assuming the states of both the plant and the exosystem are known. In this setting, perfec…
A state-space characterization of reliability in FitzHugh-Nagumo neurons and networks via contraction analysis
Michelangelo Bin, Alessandro Cecconi, Lorenzo Marconi
A new contraction-theoretic state-space characterization of neuronal reliability is developed for FitzHugh-Nagumo models. It is shown that the state space of a neuron can be partit…
Event disturbance rejection: a case study
Alessandro Cecconi, Michelangelo Bin, Rodolphe Sepulchre +1
This article introduces the problem of robust event disturbance rejection. Inspired by the design principle of linear output regulation, a control structure based on excitable syst…
Regulation without calibration
Rodolphe Sepulchre, Alessandro Cecconi, Michelangelo Bin +1
This article revisits the importance of the internal model principle in the literature of regulation and synchronization. Trajectory regulation, the task of regulating continuous-t…