In this paper, we investigate limiting behavior of linear dynamic systems driven by random stochastic matrices. We introduce and study the new concepts of partial ergodicity and 1-...
Online Social networks are increasingly being seen as a means of obtaining awareness of user preferences. Such awareness could be used to target goods and services at them. We cons...
Abstract-- This paper concerns the power minimization problem in server farms. The power minimization problem over dynamic power allocation schemes is formally defined and formulat...
Mohammadreza Aghajani, Luca Parolini, Bruno Sinopo...
The integration of renewable energy generation, such as wind power, into the electric grid is difficult because of the source intermittency and the large distance between generatio...
K. Mani Chandy, Steven H. Low, Ufuk Topcu, Huan Xu
s using Approximately Bisimilar Abstractions: Time-Optimal Control Problems Antoine Girard In this paper, we present a hierarchical approach to time-optimal control using approxima...
Consensus algorithms provide an elegant distributed way for computing the average of a set of measurements across a sensor network. However, the convergence of the node estimates t...
Yin Chen, Roberto Tron, Andreas Terzis, René...
In the identification of nonlinear dynamical models it may happen that not only the system dynamics have to be modeled but also the noise has a dynamic character. We show how to ad...
The study focuses on a class of discrete-time multi-agent systems modelling opinion dynamics with decaying confidence. Essentially, we propose an agreement protocol that impose a p...
Abstract-- The focus of this article is to undertake a comparative analysis of multi-step-ahead linear multivariate predictors. The approach considered for the estimation will be b...