574 citations · 1.6k across the 23 of their papers we have counts for
26 papers
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…
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…
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…
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…
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…
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…
Sampling methods for multistage robust convex optimization problems
Francesca Maggioni, Marida Bertocchi, Fabrizio Dabbene +1
In this paper, probabilistic guarantees for constraint sampling of multistage robust convex optimization problems are derived. The dynamic nature of these problems is tackled via t…
Distributed Algorithms for Robust Convex Optimization via the Scenario Approach
Keyou You, Roberto Tempo, Pei Xie
This paper proposes distributed algorithms to solve robust convex optimization (RCO) when the constraints are affected by nonlinear uncertainty. We adopt a scenario approach by ran…
Stochastic MPC with Offline Uncertainty Sampling
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo +1
For discrete-time linear systems subject to parametric uncertainty described by random variables, we develop a sampling-based Stochastic Model Predictive Control algorithm. Unlike…
Constraint-Tightening and Stability in Stochastic Model Predictive Control
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo +1
Constraint tightening to non-conservatively guarantee recursive feasibility and stability in Stochastic Model Predictive Control is addressed. Stability and feasibility requirement…
Distributed Algorithms for Computation of Centrality Measures in Complex Networks
Keyou You, Roberto Tempo, Li Qiu
This paper is concerned with distributed computation of several commonly used centrality measures in complex networks. In particular, we propose deterministic algorithms, which con…
Robust linear static anti-windup with probabilistic certificates
Simone Formentin, Fabrizio Dabbene, Roberto Tempo +2
In this paper, we address robust static anti-windup compensator design and performance analysis for saturated linear closed loops in the presence of nonlinear probabilistic paramet…
Novel Multidimensional Models of Opinion Dynamics in Social Networks
Sergey E. Parsegov, Anton V. Proskurnikov, Roberto Tempo +1
Unlike many complex networks studied in the literature, social networks rarely exhibit unanimous behavior, or consensus. This requires a development of mathematical models that are…
An Improved Constraint-Tightening Approach for Stochastic MPC
Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene +1
The problem of achieving a good trade-off in Stochastic Model Predictive Control between the competing goals of improving the average performance and reducing conservativeness, whi…
Scenario optimization with certificates and applications to anti-windup design
Simone Formentin, Fabrizio Dabbene, Roberto Tempo +2
In this paper, we introduce a significant extension, called scenario with certificates (SwC), of the so-called scenario approach for uncertain optimization problems. This extension…
The PageRank Problem, Multi-Agent Consensus and Web Aggregation -- A Systems and Control Viewpoint
Hideaki Ishii, Roberto Tempo
PageRank is an algorithm introduced in 1998 and used by the Google Internet search engine. It assigns a numerical value to each element of a set of hyperlinked documents (that is,…
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…
A Statistical Learning Theory Approach for Uncertain Linear and Bilinear Matrix Inequalities
Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo +2
In this paper, we consider the problem of minimizing a linear functional subject to uncertain linear and bilinear matrix inequalities, which depend in a possibly nonlinear way on a…
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…
Sequential Randomized Algorithms for Convex Optimization in the Presence of Uncertainty
Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo +2
In this paper, we propose new sequential randomized algorithms for convex optimization problems in the presence of uncertainty. A rigorous analysis of the theoretical properties of…
Randomized Methods for Design of Uncertain Systems: Sample Complexity and Sequential Algorithms
T. Alamo, R. Tempo, A. Luque +1
In this paper, we study randomized methods for feedback design of uncertain systems. The first contribution is to derive the sample complexity of various constrained control proble…
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…
Anytime Reliable LDPC Convolutional Codes for Networked Control over Wireless Channel
Alberto Tarable, Alessandro Nordio, Fabrizio Dabbene +1
This paper deals with the problem of stabilizing an unstable system through networked control over the wireless medium. In such a situation a remote sensor communicates the measure…
A Web Aggregation Approach for Distributed Randomized PageRank Algorithms
Hideaki Ishii, Roberto Tempo, Er-Wei Bai
The PageRank algorithm employed at Google assigns a measure of importance to each web page for rankings in search results. In our recent papers, we have proposed a distributed rand…