activity
20122026
most citedThe Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure

17 citations · 48 across the 18 of their papers we have counts for

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11 papers · 1 filter

math.OC2024

Vibrational Control of Complex Networks

Yuzhen Qin, Fabio Pasqualetti, Danielle S. Bassett +1

The stability of complex networks, from power grids to biological systems, is crucial for their proper functioning. It is thus important to control such systems to maintain or rest…

math.OC2023

Vibrational Stabilization of Cluster Synchronization in Oscillator Networks

Yuzhen Qin, Alberto Maria Nobili, Danielle S. Bassett +1

Cluster synchronization is of paramount importance for the normal functioning of numerous technological and natural systems. Deviations from normal cluster synchronization patterns…

math.OC2023

Vibrational Stabilization of Complex Network Systems

Alberto Maria Nobili, Yuzhen Qin, Carlo Alberto Avizzano +2

Many natural and man-made network systems need to maintain certain patterns, such as working at equilibria or limit cycles, to function properly. Thus, the ability to stabilize suc…

math.OC2022

Direct vs Indirect Methods for Behavior-based Attack Detection

Darshan Gadginmath, Vishaal Krishnan, Fabio Pasqualetti

We study the problem of data-driven attack detection for unknown LTI systems using only input-output behavioral data. In contrast with model-based detectors that use errors from an…

math.OC2021

On Direct vs Indirect Data-Driven Predictive Control

Vishaal Krishnan, Fabio Pasqualetti

In this work, we compare the direct and indirect approaches to data-driven predictive control of stochastic linear time-invariant systems. The distinction between the two approache…

math.OC2020

Learning Minimum-Energy Controls from Heterogeneous Data

Giacomo Baggio, Fabio Pasqualetti

In this paper we study the problem of learning minimum-energy controls for linear systems from heterogeneous data. Specifically, we consider datasets comprising input, initial and…