activity
20152018
most citedDistributed Convex Optimization with Inequality Constraints over Time-varying Unbalanced Digraphs

3 citations · 4 across the 3 of their papers we have counts for

collaborators

11 papers

cs.SI2018

A Tutorial on Modeling and Analysis of Dynamic Social Networks. Part II

Anton Proskurnikov, Roberto Tempo

Recent years have witnessed a significant trend towards filling the gap between Social Network Analysis (SNA) and control theory. This trend was enabled by the introduction of new…

eess.SY2017

Resilient Randomized Quantized Consensus

Seyed Mehran Dibaji, Hideaki Ishii, Roberto Tempo

We consider the problem of multi-agent consensus where some agents are subject to faults/attacks and might make updates arbitrarily. The network consists of agents taking integer-v…

eess.SY2017

Opinion evolution in time-varying social influence networks with prejudiced agents

Anton V. Proskurnikov, Roberto Tempo, Ming Cao +1

Investigation of social influence dynamics requires mathematical models that are "simple" enough to admit rigorous analysis, and yet sufficiently "rich" to capture salient features…

eess.SY2017

A Tutorial on Modeling and Analysis of Dynamic Social Networks. Part I

Anton V. Proskurnikov, Roberto Tempo

In recent years, we have observed a significant trend towards filling the gap between social network analysis and control. This trend was enabled by the introduction of new mathema…

cs.DC2016★ 3 cited

Distributed Convex Optimization with Inequality Constraints over Time-varying Unbalanced Digraphs

Pei Xie, Keyou You, Roberto Tempo +2

This paper considers a distributed convex optimization problem with inequality constraints over time-varying unbalanced digraphs, where the cost function is a sum of local objectiv…

math.OC2016

Randomized and robust methods for uncertain systems using R-RoMulOC, with applications to DEMETER satellite benchmark

Mohammadreza Chamanbaz, Fabrizio Dabbene, Dimitri Peaucelle +2

R-RoMulOC is a freely distributed toolbox which aims at making easily available to the users different optimization-based methods for dealing with uncertain systems. It implements…