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20122024
most citedOn the Design of Structured Stabilizers for LTI Systems

16 citations · 70 across the 15 of their papers we have counts for

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6 papers · 1 filter

eess.SY2020★ 2 cited

Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach

Chiara Ravazzi, Fabrizio Dabbene, Constantino Lagoa +1

Interpersonal influence estimation from empirical data is a central challenge in the study of social structures and dynamics. Opinion dynamics theory is a young interdisciplinary s…

eess.SY2018★ 12 cited

Randomized opinion dynamics over networks: influence estimation from partial observations

Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa +1

In this paper, we propose a technique for the estimation of the influence matrix in a sparse social network, in which individual communicate in a gossip way. At each step, a ra…

eess.SY2017

Distributed estimation from relative measurements of heterogeneous and uncertain quality

Chiara Ravazzi, Nelson P. K. Chan, Paolo Frasca

This paper studies the problem of estimation from relative measurements in a graph, in which a vector indexed over the nodes has to be reconstructed from pairwise measurements of d…

eess.SY2013★ 1 cited

Ergodic Randomized Algorithms and Dynamics over Networks

Chiara Ravazzi, Paolo Frasca, Roberto Tempo +1

Algorithms and dynamics over networks often involve randomization, and randomization may result in oscillating dynamics which fail to converge in a deterministic sense. In this pap…

eess.SY2013★ 16 cited

Gossips and Prejudices: Ergodic Randomized Dynamics in Social Networks

Paolo Frasca, Chiara Ravazzi, Roberto Tempo +1

In this paper we study a novel model of opinion dynamics in social networks, which has two main features. First, agents asynchronously interact in pairs, and these pairs are chosen…

eess.SY2013★ 3 cited

Almost sure convergence of a randomized algorithm for relative localization in sensor networks

Chiara Ravazzi, Paolo Frasca, Roberto Tempo +1

This paper regards the relative localization problem in sensor networks. We study a randomized algorithm, which is based on input-driven consensus dynamics and involves pairwise "g…