activity
20172020
most citedNewton-Raphson Consensus under asynchronous and lossy communications for peer-to-peer networks

12 citations · 12 across the 2 of their papers we have counts for

collaborators

6 papers

eess.SY2020

Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction

Samuel Chevalier, Luca Schenato, Luca Daniel

This paper applies a custom model order reduction technique to the distribution grid state estimation problem. Specifically, the method targets the situation where, due to pseudo-m…

eess.SY2020

Accelerated Probabilistic Power Flow in Electrical Distribution Networks via Model Order Reduction and Neumann Series Expansion

Samuel Chevalier, Luca Schenato, Luca Daniel

This paper develops a computationally efficient algorithm which speeds up the probabilistic power flow (PPF) problem by exploiting the inherently low-rank nature of the voltage pro…

math.OC2019

Smart Grid State Estimation with PMUs Time Synchronization Errors

Marco Todescato, Ruggero Carli, Luca Schenato +1

We consider the problem of PMU-based state estimation combining information coming from ubiquitous power demand time series and only a limited number of PMUs. Conversely to recent…

math.OC2019

Asynchronous Distributed Optimization over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence

Nicola Bastianello, Ruggero Carli, Luca Schenato +1

In this work we focus on the problem of minimizing the sum of convex cost functions in a distributed fashion over a peer-to-peer network. In particular, we are interested in the ca…

math.OC2018

Lyapunov Theory for Discrete Time Systems

Nicoletta Bof, Ruggero Carli, Luca Schenato

In this work, we present the equivalent of many theorems available for continuous time systems. In particular, the theory is applied to Averaging Theory and Separation of time scal…

math.OC201712 cited

Newton-Raphson Consensus under asynchronous and lossy communications for peer-to-peer networks

Nicoletta Bof, Ruggero Carli, Giuseppe Notarstefano +2

In this work we study the problem of unconstrained convex-optimization in a fully distributed multi-agent setting which includes asynchronous computation and lossy communication. I…