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20242026
most citedIndependence of Closed-Loop Equilibria and Stability from the Choice of Control Barrier Function for a Given Safe Set

1 citations · 1 across the 3 of their papers we have counts for

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math.OC2026

Online Feedback Optimization for Constrained Stochastic Problems with Decision-Dependent Distributions: Extended Version

Caio Kalil Lauand, Emiliano Dall'Anese

Online feedback optimization (OFO) leverages real-time output measurements to optimize the operation of networked systems without requiring full knowledge of system dynamics or dis…

math.OC2025

High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise

Liam Madden, Emiliano Dall'Anese, Stephen Becker

Stochastic gradient descent is one of the most common iterative algorithms used in machine learning and its convergence analysis is a rich area of research. Understanding its conve…

math.OC2025

Control of Power Grids With Switching Equilibria: -Limit Sets and Input-to-State Stability

Mahmoud Abdelgalil, Vishal Shenoy, Guido Cavraro +2

This paper studies a power transmission system with both conventional generators (CGs) and distributed energy assets (DEAs) providing frequency control. We consider an operating co…

math.OC2025

A Distributed Optimization Framework to Regulate the Electricity Consumption of a Residential Neighborhood with Renewables

Erhan Can Ozcan, Emiliano Dall'Anese, Ioannis Ch. Paschalidis

Demand response services at the distribution level are emerging as enabling strategies for improving grid reliability in the presence of intermittent renewable generation and grid…

math.OC2025

Control Barrier Function-Based Safety Filters: Characterization of Undesired Equilibria, Unbounded Trajectories, and Limit Cycles

Pol Mestres, Yiting Chen, Emiliano Dall'anese +1

This paper focuses on safety filters designed based on Control Barrier Functions (CBFs): these are modifications of a nominal stabilizing controller typically utilized in safety-cr…

math.OC2024

k-Dimensional Agreement in Multiagent Systems

Gianluca Bianchin, Miguel Vaquero, Jorge Cortes +1

Given a network of agents, we study the problem of designing a distributed algorithm that computes k independent weighted means of the network's initial conditions (namely, the age…