574 citations · 1.6k across the 23 of their papers we have counts for
18 papers · 1 filter
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…
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…
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…
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…
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…
Distributed Randomized Algorithms for the PageRank Computation
Hideaki Ishii, Roberto Tempo
In the search engine of Google, the PageRank algorithm plays a crucial role in ranking the search results. The algorithm quantifies the importance of each web page based on the lin…
Probabilistic Optimal Estimation and Filtering under Uncertainty
Fabrizio Dabbene, Mario Sznaier, Roberto Tempo
The classical approach to system identification is based on stochastic assumptions about the measurement error, and provides estimates that have random nature. Worst-case identific…